JP6071562B2 - Information processing apparatus and information processing method - Google Patents

Description

  The present invention relates to a technique for evaluating the magnitude of influence of a user on other users.

  There is a technique for evaluating the magnitude of influence of a user on other users. For example, by extracting users who have a higher impact rating from the entire user and providing advertisements, other users may be affected by the shopping and word of mouth performed by those users, and the products and services of the advertisements You can expect to buy. In addition, in SNS (Social Networking Service) such as Twitter (registered trademark), the more influential users tend to have more partners with whom to interact. It may be possible to increase the number of people who interact with each other by introducing users who are evaluated as being large. Thus, the result of evaluating the magnitude of the user's influence can be used for various services.

For example, Patent Documents 1 and 2 disclose a method of using information related to an exchange performed using a communication service when evaluating the magnitude of influence.
Patent Document 1 describes a technique for calculating the degree of influence of an SNS user by calculating the degree of propagation based on the retransmission relationship and the number of links in an SNS such as Twitter. In the technique of Patent Document 1, by quantifying the spread of write information, a user (influencer) having a large influence on other users by a user who has transmitted write information that is widely propagated between users is extracted. The

  Patent Document 2 describes the degree of influence in providing information by an information provider based on the number of appearances of natural language included in information provided on a blog, SNS, and the like, and the number of third parties responding to the information. A technique for evaluating the magnitude of the influence of an information provider on a third party by determining the above is described. In the technique of Patent Literature 2, by determining the influence level, an information provider who is highly likely to transmit a keyword leading to a trend is discovered.

JP 2012-78933 A JP 2009-2111127 A

The influence described above is transmitted when the users interact with each other. Therefore, it is expected that a user who frequently interacts with other users has more opportunities to influence other users and has a greater influence. In the techniques of Patent Documents 1 and 2, the magnitude of influence is evaluated based on information representing the contents of exchanges performed in the past using a communication service such as SNS. In other words, with these technologies, it can be said that a user who has a lot of past exchanges is expected to have a greater influence in the future. However, it is sometimes difficult to use past contents of exchange, that is, for example, information on when and who the user interacted with for other uses such as evaluation of influence from the viewpoint of privacy protection. For the same reason, use in other applications is not assumed, and it may be technically difficult to acquire the contents of the AC for evaluating the influence. In the techniques of Patent Documents 1 and 2, it is difficult to evaluate the magnitude of influence in such cases. In addition, these techniques also have a problem that the magnitude of influence cannot be correctly evaluated until information representing the contents of past exchanges is accumulated.
Therefore, an object of the present invention is to evaluate the magnitude of the influence of a user on other users without using the contents of user exchange performed using a communication service.

In order to achieve the above object, the present invention provides registration information registered by a user belonging to a group of users who perform communication using a communication service, and each user interacts with the communication service using the communication service. Information acquisition means for acquiring registration information including an identifier for identifying a certain other user in the communication service and related information that is information other than the identifier related to a partner with whom the user exchanges using the communication service And the magnitude of the influence of one user belonging to the user group on the other users is registered in at least the registration information registered by the one user among the registration information acquired for each user by the information acquisition means. an evaluation means for evaluating, based, evaluate the magnitude of the impact in accordance with the number of the relevant information contained in the obtained the registration information To provide an information processing apparatus, characterized in that it comprises an evaluation unit that.

The front Symbol related information, the one user may include information other than the identifier associated with the other party to interact using the communications service.
The related information may be information other than the identifier related to the one user, and may include information registered by a partner with whom the one user exchanges using the communication service.
Further, the related information is related to a user other than the one user with whom the one user exchanges using the communication service exchanges with the communication service, and is registered by the partner. Information may be included.

Further, the evaluation means obtains the magnitude of the influence according to the number of the related information included in the acquired registration information, and determines the obtained evaluation of the identifier included in the acquired registration information. A value corrected according to the number may be used as the evaluation of the magnitude of the influence.
Further, the evaluation unit obtains the magnitude of the influence according to the number of the identifiers included in the acquired registration information, and evaluates the obtained evaluation of the related information included in the acquired registration information. A value corrected according to the deviation of the number may be used as the evaluation of the magnitude of the influence.

In addition, the present invention is registration information registered by users belonging to a group of users who perform communication using a communication service, and the other users with whom each user interacts using the communication service information acquisition means for acquiring registration information including the identifier for identifying the communication service, if the identifier is included to identify those non-personal in the registration information, and removing means for removing the registration information, the Evaluating the influence of one user belonging to a user group on other users based on at least the registration information registered by the one user among the registration information acquired for each user by the information acquisition means an evaluation unit for, among the obtained the registration information, the shadow on the basis of the registration information except those removed by the removal means To provide an information processing apparatus, characterized in that it comprises an evaluation means for evaluating the magnitude of the force.

In addition, the present invention is registration information registered by users belonging to a group of users who perform communication using a communication service, and the other users with whom each user interacts using the communication service Information acquisition means for acquiring registration information including an identifier to be identified in a communication service, and the magnitude of influence of one user belonging to the user group on other users was acquired for each user by the information acquisition means Evaluation means for evaluating based on registration information registered by at least the one user among the registration information, and AC content for acquiring content that the one user has exchanged with another user using the communication service a acquiring unit, the evaluation unit, on the basis of the contents of the AC obtained by the AC content acquisition means, calculating the number of net of the opponent , To provide an information processing apparatus characterized by evaluating the magnitude of the impact force depending on the number calculated.

The present invention relates to registration information registered by a user belonging to a group of users who perform an exchange using a communication service, and each user is a partner with whom the user exchanges using the communication service. An information acquisition step of acquiring registration information including an identifier for identifying a user in the communication service, and related information that is information other than the identifier related to a partner with which the user exchanges using the communication service ; The information processing apparatus has registered the magnitude of the influence of one user belonging to the user group on other users by at least one of the registration information acquired for each user in the information acquisition step. an evaluation step of evaluating, based on the registration information, in accordance with the number of the relevant information contained in the obtained the registration information An information processing method characterized by comprising an evaluation step of evaluating the size of the serial impact.

Moreover, this invention is the registration information registered by the user who belongs to the user group who performs the exchange using a communication service, Comprising: Each said user is the other party who exchanges using the said communication service. An information acquisition step of acquiring registration information including an identifier for identifying another user in the communication service, and when the information processing apparatus includes the identifier for identifying something other than an individual in the registration information, The removal step for removing the registration information, and the information that the information processing apparatus has acquired for each user in the information acquisition step, the magnitude of the influence of one user belonging to the user group on other users. The evaluation information is an evaluation step for evaluating based on registration information registered by at least the one user. Among them, an information processing method characterized by comprising an evaluation step of evaluating the magnitude of the impact on the basis of the registration information except those removed in the removing step.
Moreover, this invention is the registration information registered by the user who belongs to the user group who performs the exchange using a communication service, Comprising: Each said user is the other party who exchanges using the said communication service. An information acquisition step for acquiring registration information including an identifier for identifying another user in the communication service, and the information processing apparatus, the magnitude of the influence of one user belonging to the user group on the other user, An evaluation step of evaluating based on registration information registered by at least one of the registration information acquired for each user in the information acquisition step; and the information processing apparatus, wherein the one user performs the communication service. An AC content acquisition step of acquiring content exchanged with other users by using the information processing device, In the price step, the net number of the opponent is calculated based on the content of the AC acquired in the AC content acquiring step, and the magnitude of the influence is evaluated according to the calculated number. An information processing method is provided.

  ADVANTAGE OF THE INVENTION According to this invention, even if it does not use the content of the user's exchange performed using a communication service, the magnitude of the influence which a user exerts on other users can be evaluated.

It is a figure showing the whole information processing system composition concerning a 1st embodiment. It is a figure which shows the hardware constitutions of a communication terminal. It is a figure which shows the hardware constitutions of information processing apparatus. It is a figure which shows an example of the function structure which information processing apparatus implement | achieves. It is a figure which shows an example of registration information. It is a figure which shows an example of registration information. It is a figure which shows an example of a removal list. It is a figure which shows an example of a weight table. It is a figure which shows an example of evaluation result data. It is a sequence diagram which shows an example of operation | movement of each apparatus in an evaluation process. It is a figure which shows an example of the evaluation result displayed on the communication terminal. It is a figure which shows an example of 1st relevant information. It is a figure for demonstrating registration information. It is a figure which shows an example of a correction table. It is a figure which shows an example of a correction table. It is a figure which shows an example of the function structure which information processing apparatus implement | achieves. It is a figure which shows an example of a correction table. It is a figure which shows an example of a correction table. It is a figure which shows an example of the function structure which information processing apparatus implement | achieves. It is a figure which shows the example of a function structure which an information processing system implement | achieves.

[1] First Embodiment [1-1] Overall Configuration and Hardware Configuration FIG. 1 is a diagram showing an overall configuration of an information processing system 1 according to the first embodiment of the present invention. The information processing system 1 is a system for evaluating the magnitude of influence that a user has on other users. Specifically, the information processing system 1 evaluates the magnitude of the influence that one user belonging to the user group exerts on other users in the user group that performs exchange using the communication service. Hereinafter, the user group and the user simply refer to users belonging to the user group and the user group. In addition, the user to be evaluated is also referred to as “target user”. The communication service here is a service that can be used for the exchange between users, and is a communication service such as telephone, e-mail, and SNS. The information processing system 1 includes an information processing apparatus 10, a plurality of communication terminals 20, and a network 2. The network 2 includes a mobile communication network and the Internet, and mediates exchange of data between devices.

  The communication terminal 20 is a device having a function of communicating with the network 2 and is, for example, a mobile phone, a smartphone, a tablet terminal, a personal computer, or the like. In the example of FIG. 1, the communication terminal 20 performs wireless communication such as mobile communication or communication conforming to the wireless LAN standard with the network 2. The communication terminal 20 exchanges data with the information processing apparatus 10 and other communication terminals 20 via the network 2. For example, the communication terminal 20 exchanges data indicating information necessary for evaluating the magnitude of influence with the information processing apparatus 10 or is operated by a user who uses a communication service, and indicates data such as voice, characters, and images. Are exchanged with other communication terminals 20. Note that the communication terminal 20 may communicate with the network 2 by wired communication as well as wireless communication as in the example of FIG.

  The information processing apparatus 10 is an apparatus having a function of communicating with the network 2 and is, for example, a server apparatus. The information processing apparatus 10 exchanges data with the plurality of communication terminals 20 via the network 2 and evaluates the magnitude of the influence described above. Note that the information processing apparatus 10 is not limited to the server apparatus, and may be a mobile phone, a smartphone, a tablet terminal, a personal computer, or the like, similar to the communication terminal 20.

  FIG. 2 is a diagram illustrating a hardware configuration of the communication terminal 20. The communication terminal 20 includes a control device 21, a storage device 22, a communication device 23, a UI device 24, and a voice input / output device 25. The control device 21 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and a real time clock. The CPU controls the operation of each device by executing a program stored in the ROM or the storage device 22 using the RAM as a work area. The real time clock has a function of calculating the current date and time. The storage device 22 includes a flash memory, a hard disk, and the like, and stores data, programs, and the like used by the control device 21 for control.

  The communication device 23 includes a communication circuit for performing mobile communication, and exchanges data with other devices via the network 2. The UI device 24 includes a display surface and a touch panel superimposed on the display surface, and receives an operation from the user and displays an image. The UI device 24 supplies operation data corresponding to the received user operation to the control device 21, and the control device 21 performs processing according to the operation data. The voice input / output device 25 includes a speaker, a microphone, a voice processing circuit, and the like, and performs voice data input / output in mobile communication, for example.

  FIG. 3 is a diagram illustrating a hardware configuration of the information processing apparatus 10. The information processing apparatus 10 includes a control device 11, a storage device 12, and a communication device 13. The control device 11 includes a CPU, a ROM, a RAM, and a real time clock. The CPU controls the operations of the storage device 12 and the communication device 13 by executing a program stored in the ROM or the storage device 12 using the RAM as a work area. The real time clock has a function of calculating the current date and time. The storage device 12 includes a hard disk or the like, and stores data, programs, and the like used by the control device 11 for control. The communication device 13 includes a communication circuit for performing communication via the network 2 and exchanges data with, for example, the communication terminal 20 via the network 2.

[1-2] Functional Configuration The information processing apparatus 10 performs an evaluation process for evaluating the magnitude of the influence of the user on another person based on the above hardware configuration. The storage device 12 stores a program for performing an evaluation process. The control device 11 executes the program to control each device shown in FIG.
FIG. 4 is a diagram illustrating an example of a functional configuration realized by the information processing apparatus 10. The information processing apparatus 10 includes an information acquisition unit 101, a removal unit 102, a generation unit 104, an evaluation unit 103, and a processing unit 105.

  The information acquisition unit 101 is an information acquisition unit that acquires information (hereinafter referred to as “registration information”) registered by users belonging to the above-described user group (a group of users who perform communication using a communication service). Specifically, the information acquisition unit 101 includes registration (hereinafter referred to as “identifier”) that identifies, in the communication service, other users with whom each user belonging to the user group interacts using the communication service. Get information. The identifier is, for example, information such as a telephone number, a mail address, or an SNS account. These pieces of information are used as information for identifying other users in telephone services (including fixed and mobile), e-mail services, and SNS.

  There are various methods by which the information acquisition unit 101 acquires registration information, and two methods will be described here. When the first acquisition method is used, the control device 11 and the communication device 13 cooperate to realize the function of the information acquisition unit 101. This method is used when registration information registered by the user is stored in the storage device 22 of the communication terminal 20. Such registration information is managed, for example, by a function of a program (such as a telephone book) for using a communication service. The communication terminal 20 extracts the registration information including the identifier at a predetermined timing (for example, every Sunday at 0:00) and transmits it to the information processing apparatus 10. The communication device 13 receives the transmitted registration information and supplies it to the control device 11, and the control device 11 acquires the supplied registration information.

  When the second acquisition method is used, the control device 11 and the storage device 12 cooperate to realize the function of the information acquisition unit 101. This method is used, for example, when a cloud communication service is provided and registration information registered by the user is stored in the storage device 12 of the information processing apparatus 10. The control device 11 reads the registration information including the user identifier from the storage device 12 at a predetermined timing (for example, every week), and acquires the read registration information. An example of registration information acquired by the information acquisition unit 101 will be described with reference to FIG.

  FIG. 5 is a diagram illustrating an example of registration information. In the example of FIG. 5, as “registration contents” of “registration items” of “name”, “phone number”, “e-mail address”, and “SNS account”, “XXXXX”, “090-xxxx” -Xxxx "," yyyy@yy.com "and" zzz @ zzz "are shown respectively. “XXX” is the name of another user registered by a certain user, and the contents of other registration are identifiers of other users registered by that user. The information acquisition unit 101 acquires registration information as illustrated in FIG. 5 using the first acquisition method, the second acquisition method, and the like, and supplies the acquired registration information to the removal unit 102.

The removal unit 102 is a removal unit that removes registration information when an identifier for identifying something other than an individual is included in the registration information. The registration information acquired by the information acquisition unit 101 may include, for example, an identifier for identifying something other than an individual such as a store or a company.
FIG. 6 is a diagram illustrating an example of registration information including an identifier for identifying something other than an individual. In the example of FIG. 6, a “name” “□□ store” and a “telephone number” “03-www-www” are shown. The removal unit 102 is a function realized by the control device 11 and the storage device 12 in cooperation, for example. The storage device 12 stores a list of character strings included in the registration information to be removed (referred to as “removal list”).

  FIG. 7 is a diagram illustrating an example of the removal list. In the example of FIG. 7, character strings “store”, “company”, “bank”, and “insurance” are shown. The control device 11 searches the registration information acquired by the information acquisition unit 101 for a character string included in the removal list, and if at least one character string is found, for example, the registration information is a target of removal. Is added (removal code). Note that the control device 11 may add a removal code when the number of character strings equal to or greater than the threshold is found instead of one. The control device 11 supplies registration information to which the removal code is not added after performing the search to the generation unit 104. Thereby, the registration information including the character string shown in the removal list is removed. The removal unit 102 removes registration information in this way. For example, when the registration information shown in FIG. 6 is supplied, the removal unit 102 finds the character string “store” from the registration contents of the item “name” “□□ store” and removes this registration information. To do.

  The removal list may include domain names used in stores and companies, SNS accounts, and the like in addition to those shown in FIG. In short, the removal list may include a character string that is likely to be included in an identifier for identifying something other than an individual. Further, the removal unit 102 may search for a character string included in the removal list, not the entire registration content, but the registration content of a specific item. For example, the removal unit 102 may perform a domain name search on the contents of registration of an item called an e-mail address.

  The evaluation unit 103 is an evaluation unit that evaluates the magnitude of influence of one user (also referred to as a target user) belonging to the user group on other users. The evaluation unit 103 evaluates the magnitude of the influence based on registration information registered by at least this one user among the registration information acquired for each user by the information acquisition unit 101. The evaluation unit 103 performs this evaluation by various methods. In this embodiment, the evaluation unit 103 evaluates the magnitude of influence according to the number of identifiers included in the acquired registration information. Further, the evaluation unit 103 evaluates the magnitude of the influence based on the registration information excluding the acquired registration information that is removed by the removal unit 102. In addition, the evaluation unit 103 reflects the weight given to the registration information according to the type of communication service in which other users are identified by the identifier included in the acquired registration information, and has a large influence. Evaluate.

The evaluation unit 103 includes a generation unit 104, and evaluates the magnitude of the influence described above based on information generated by the generation unit 104.
When the evaluation of the magnitude of the influence described above is performed, the generation unit 104 is information indicating the degree of expectation that the influence will be transmitted to other users through the exchange using the communication service (hereinafter, “expectation”). "Degree" and "expected degree information"). The generation unit 104 generates the degree of expectation information based on the registration information acquired for each user by the information acquisition unit 101. The degree of expectation represented by the degree of expectation information is represented, for example, by the target user's own AC range and AC activity. The range of exchange here means how many other users (hereinafter referred to as “partner users”) with whom the target user is interacting, and the activity of the exchange means that the target user is It shows how actively you interact with the other user.

  The generation unit 104 generates expectation level information by various methods. In the present embodiment, the generation unit 104 generates expectation level information that reflects the expected range of AC according to the number of identifiers included in the registration information acquired by the information acquisition unit 101 in the degree of expectation. In addition, the registration information that has not been removed by the removal unit 102 is supplied to the generation unit 104. Accordingly, the generation unit 104 generates the degree of expectation information based on the registration information excluding the registration information acquired by the information acquisition unit 101 and the information removed by the removal unit 102. Further, for example, when there are a plurality of types of communication services as in the example illustrated in FIG. 5, the generation unit 104 determines the communication service according to the type of communication service identified by the identifier included in the acquired registration information. Expectation degree information is generated using the weight assigned to the registration information. In these cases, the control device 11 and the storage device 12 cooperate to implement the function of the generation unit 104.

The storage device 12 stores a weight table in which communication service types and weights are associated with each other.
FIG. 8 is a diagram illustrating an example of a weight table. In the example of FIG. 8, “weight” of “2”, “1.5”, and “1” corresponds to “communication service type” of “telephone service”, “e-mail service”, and “SNS”. It is attached. The control device 11 extracts the identifier of the partner user included in the registration information supplied from the removal unit 102 (registration information excluding the information removed by the removal unit 102).

  The control device 11 totals the number of extracted identifiers for each type of communication service, and calculates a total value obtained by multiplying the total number of identifiers of each type by the weight associated with each type in the weight table. To do. For example, when the number of the other user's telephone number, e-mail address, and SNS account of the target user A is “50”, “80”, and “150”, respectively, the control device 11 determines that 50 × 2 + 80 × 1. Calculate 5 + 150 × 1 = 370. Further, when the similar numbers of the target users B are “80”, “120”, and “50”, respectively, the control device 11 calculates 80 × 2 + 120 × 1.5 + 50 × 1 = 390.

  The control apparatus 11 produces | generates the value calculated as mentioned above as expectation degree information. The value calculated by the control device 11 is a value corresponding to the number of identifiers, and the number of identifiers represents how many other users the target user is interacting with, that is, the range of alternating current. That is, the range of AC is reflected in the generated expectation level information. Further, the control device 11 generates the expectation information using the weights shown in FIG. 8 assigned to the registration information such as the telephone number, the e-mail address, and the SNS account. In this way, the generation unit 104 performs the generation described above.

  The evaluation unit 103 evaluates the magnitude of influence based on the influence degree information generated by the generation unit 104 as follows. For example, the evaluation unit 103 compares two target users (referred to as a first target user and a second target user), and the generation unit 104 generates the second user compared to the first user. When the degree of expectation represented by the expected degree information is large, it is evaluated that the influence of the second user is greater than the influence of the first user. The evaluation unit 103 is a function realized by the control device 11. The control device 11 compares the expectation level information of the two target users supplied from the generation unit 104. For example, the control device 11 compares the expectation level information of the target user A (370 in the above example) with the expectation level information of the target user B (390 in the above example). In this case, since the target user B has a higher degree of expectation information than the target user A, the control device 11 evaluates that the target user B has a greater influence than the target user A.

The evaluation unit 103 evaluates the magnitude of the influence as described above. The evaluation unit 103 generates evaluation result data indicating the evaluation result.
FIG. 9 is a diagram illustrating an example of evaluation result data. In FIG. 9, “1” to “5” ranks of “ranking level of influence” are shown. In this example, “expectation information” and “target user” are “390” and “B”, “370” and “A”, “325” and “C”, “310” and “310” “E”, “245”, and “D”. The evaluation unit 103 supplies the generated evaluation result data to the processing unit 105.

  The processing unit 105 is a processing unit that performs predetermined processing based on the result evaluated by the evaluation unit 103. For example, the processing unit 105 is a function realized by the control device 11 and the communication device 13 in cooperation. Request data indicating that an evaluation result of the magnitude of influence is requested may be transmitted from the communication terminal 20 to the information processing apparatus 10. When the request data received by the communication device 13 is supplied to the control device 11, the control device 11 sends the evaluation result data supplied from the evaluation unit 103 to the communication terminal 20 that has transmitted the request data via the communication device 13. Process to send. In this case, the predetermined process is a process of providing the evaluation result data to the external device that has requested the evaluation result data. As described above, the processing unit 105 performs the above-described processing.

[1-3] Operation The information processing apparatus 10 performs the above-described evaluation process based on the above configuration. Below, the operation | movement which each apparatus with which the information processing system 1 is provided in an evaluation process is demonstrated with reference to FIG.
FIG. 10 is a sequence diagram illustrating an example of the operation of each device in the evaluation process. In FIG. 10, two of the plurality of communication terminals 20 are shown, but other communication terminals 20 perform the same operation as these. FIG. 10 shows an operation when registration information is acquired by the above-described first acquisition method.

  First, the plurality of communication terminals 20 respectively extract registration information at a predetermined timing (for example, every Sunday at 0:00) (steps S11 and S12). Each communication terminal 20 transmits the extracted registration information to the information processing apparatus 10 (steps S13 and S14). The information processing apparatus 10 acquires the registration information received in steps S13 and S14 (step S15). Steps S13, S14, and S15 are operations performed by the information acquisition unit 101.

  Next, when the registered information includes an identifier for identifying something other than an individual, the information processing apparatus 10 removes the registered information (step S16). Step S16 is an operation performed by the removal unit 102. Subsequently, the information processing apparatus 10 generates expectation level information based on the registration information excluding those removed in step S16 (step S17). Step S17 is an operation performed by the evaluation unit 103 (generation unit 104). Then, the information processing apparatus 10 evaluates the magnitude of the influence of the target user using the generated expectation degree information (step S18). Step S18 is an operation performed by the evaluation unit 103.

  In the evaluation process, for example, the user requests the result (evaluation result) of operating the communication terminal 20 and evaluating the magnitude of the influence. When the operation data indicating the operation for requesting the evaluation result is supplied to the control device 21 (step S21), the communication terminal 20 described above (the data indicating that the evaluation result of the magnitude of influence is requested). Is transmitted to the information processing apparatus 10 (step S22). When receiving the request data, the information processing apparatus 10 outputs evaluation result data indicating the result of evaluation in step S18 to the communication terminal 20 that has transmitted the request data (step S23). Steps S22 and S23 are operations performed by the processing unit 105. The communication terminal 20 displays the evaluation result indicated by the received evaluation result data (step S24).

  FIG. 11 is a diagram illustrating an example of the evaluation result displayed on the communication terminal 20. In FIG. 11, a character string “Evaluation result of influence magnitude”, “score”, and “user name” are displayed. In the example of FIG. 11, the expectation information is displayed in “Score”, and the names of five target users are displayed in “User Name”. “Score” and “User name” are displayed in order from the top of the display surface in descending order of score. For example, “B” having a score (expectation information) of “390” is displayed at the top, followed by “A”, “C”, “E”, and “D” having a score of “245” is one. It is displayed at the bottom. In the evaluation results shown in FIG. 11, the order of the magnitude of influence is represented in the order of arrangement, and the degree of the magnitude of influence is represented by the numerical value of the score.

[1-4] Effects of the Invention The magnitude of the influence of the users belonging to the above-described user group is, for example, the contents of the exchange that the user and other users have used in the past using the communication service ( If the user tries to evaluate based on the communication service using the communication service, the evaluation cannot be performed. In addition, since the AC content is information including a large amount of user privacy, it is difficult to use the AC content of many users for other purposes even though the user can refer to his / her AC content. . Moreover, since there are many cases where usage for purposes other than the user's reference is not assumed, it may be technically difficult to acquire the contents of AC.

  On the other hand, in the present embodiment, the magnitude of the influence is evaluated using registration information registered by the target user and expected degree information generated based on registration information including an identifier used in the communication service. . This registration information is information that can be registered in advance for the purpose of facilitating exchanges with other users that will be carried out in the future, for example, even if the user does not carry out exchanges using communication services. It is. In addition, a user who registers many identifiers used to identify the other party in the communication service can expect more exchanges than a user who has few identifiers registered, and thus the influence of the user is different from that of other users. It is expected to transmit a lot to users. As described above, according to the present embodiment, it is possible to evaluate the magnitude of the influence of a user on other users without using the contents of the user exchange performed using the communication service.

Further, the communication service cannot be used by the target user unless the other user uses it. That is, the above-described evaluation of the magnitude of influence based on the use history is performed based on information (use history) obtained by an action depending on the other user, that is, use of the communication service. Therefore, for example, the amount of usage history differs and the evaluation of the degree of influence may differ depending on whether or not the other user is actively using the communication service.
On the other hand, in this embodiment, the evaluation of the magnitude of influence is performed based on the information (registration information) obtained by the act of the target user registering the registration information, that is, the act that can be performed without depending on the other user. Has been done. Thereby, it is possible to prevent the other user's tendency to use the communication service (whether or not he / she is positive) from affecting the evaluation of the magnitude of influence.

  In the present embodiment, the magnitude of influence is evaluated using the weight given to the registration information according to the type of communication service. Thereby, when the target user uses a plurality of types of communication services (for example, telephone, electronic mail, and SNS), the magnitude of influence can be evaluated in consideration of the characteristics of each communication service. Considering the characteristics of each communication service, for example, when there is a tendency that a telephone is used when there is an important requirement, the weight of registration information including a telephone identifier (phone number) is heavier than others. And so on. As a result, for example, the target user who registers 10 telephone numbers and the target user who registers 10 mail addresses can interact with the other user with more important requirements than the latter. In many cases, it is evaluated that the user has a great influence. Further, as another example that considers the characteristics of each communication service, it is conceivable to change the weight between an SNS that presupposes disclosure of a name and an SNS that presupposes anonymity. In this case, for example, the weight may be increased on the assumption that the SNS assuming the disclosure of the name is easier to transmit the influence.

  In addition, the target user may register an identifier for identifying a person other than an individual, that is, an identifier for identifying a frequently-used store or a business partner. These identifiers are often used for office work such as store reservations or business work. The counterpart user (for example, a store clerk or a business partner employee) in such a case cannot expect the influence of the target user to be transmitted compared to an individual counterpart user such as a friend or family member. In the present embodiment, the degree of influence is evaluated by removing the registration information including an identifier for identifying something other than an individual, and then evaluating the magnitude of the influence, compared with the case where the removal is not performed. The accuracy of the evaluation can be increased.

[2] Second Embodiment Hereinafter, a second embodiment of the present invention will be described focusing on differences from the first embodiment. In the first embodiment, the expectation level information in which the range of AC is reflected in the degree of expectation is generated, but in the second embodiment, the expectation level information in which the activity of AC is reflected in the degree of expectation is generated. The In the generation of the expectation degree information in the present embodiment, information related to the partner user other than the identifier among the information included in the registration information registered by the target user (hereinafter referred to as “first registration information”). (Hereinafter referred to as “first related information”). In other words, when the first related information is included in the registration information registered by the target user, the expectation information in the present embodiment is generated. The identifier included in the first registration information is hereinafter referred to as “first identifier”. Also, in the second embodiment, the removal by the removing unit 102 may be performed. However, in order to simplify the description, a case where this removal is not performed will be described below.

  FIG. 12 is a diagram illustrating an example of the first related information. In the example of FIG. 12, “name”, “phone number”, “e-mail address”, “SNS account”, “address”, “date of birth”, “anniversary”, “nickname”, and “photograph” 9 Two “registration items” are shown. Of these nine items, the contents of registration registered in six items excluding three of the first identifiers “phone number”, “e-mail address”, and “SNS account” are the first related Information. That is, in the example of FIG. 12, six pieces of first related information are registered.

  The evaluation unit 103 evaluates the magnitude of the influence according to the number of first related information included in the first registration information acquired by the information acquisition unit 101. The evaluation unit 103 performs this evaluation based on the expectation level information generated by the generation unit 104. The generation unit 104 reflects the degree of expectation of the exchange of the target user and the other user expected according to the number of first related information included in the first registration information acquired by the information acquisition unit 101. Generated expectation degree information. The partner user in this case is a user identified by the first identifier included in the acquired first registration information.

  Since the first related information is information about the other user, it can be used as a topic topic, for example. Therefore, the more the exchange with the other user is active, the more valuable it is. Moreover, even if the target user knows the first related information, if the exchange is not active, the target user has few opportunities to use it, and may not register with great effort. Therefore, it can be expected that the target user who is actively interacting with the other user will register the first related information with much effort. In other words, it can be expected that the target user who has registered a large amount of the first related information is more actively exchanged and the influence is transmitted to other users.

  The generation unit 104 counts the number of first related information included in the first registration information supplied from the information acquisition unit 101. In the example of FIG. 12, the generation unit 104 counts “6” as the number of first related information of the partner user C whose name is “□□□ ○○”. Moreover, the production | generation part 104 also counts the 1st relevant information of another other party user, and produces | generates the value which totaled them as expectation degree information. The expected degree information generated in this way becomes a larger value as the first related information increases. That is, the degree of expectation information tends to have a larger value as the target user is expected to perform active exchange. In this manner, the generation unit 104 generates the degree of expectation information that reflects the activity of alternating current in the degree of expectation. As a result, the evaluation unit 103, for example, the target user D (expectation degree information is “10”) in which only names are registered as the first related information of 10 partner users and the 10 partner users When the target user E (whose expectation level information is “30”) in which the name, address, and date of birth are all compared as the related information 1, the target user C is compared with the target user D. It is evaluated that the degree of expectation represented by the degree of expectation information is large and the influence is large. In this way, the evaluation unit 103 evaluates the magnitude of the influence according to the number of first related information included in the acquired first registration information.

In this embodiment as well, as in the first embodiment, the magnitude of influence is evaluated using the degree of expectation information generated based on the registration information (including the first related information) registered by the target user. doing. Thereby, even if it does not use the content of the user's exchange performed using a communication service, the magnitude of the influence which a user exerts on other users can be evaluated.
Further, in the present embodiment, for example, even if the number of partner users to be exchanged is the same, the influence of the target users expected to actively interact with those partner users is greater. Be evaluated. As described above, according to the present embodiment, even if the target users have no difference in the AC range, the difference in the magnitude of the influence is evaluated according to the activity of the exchange with the other user expected for each user. be able to.

[3] Third Embodiment Hereinafter, a third embodiment of the present invention will be described focusing on differences from the first and second embodiments. In the first and second embodiments, the magnitude of the influence is evaluated based on the registration information registered by the target user. In the third embodiment, the influence is based on the registration information registered by the other user. The size of is evaluated. Specifically, among the information included in the registration information registered by the other user, information other than the identifier related to the target user (hereinafter referred to as “second related information”), and the other user communicates with the communication service. And information other than identifiers (hereinafter referred to as “third related information”) related to third-party users (hereinafter referred to as “third-party users”) other than target users who interact with each other. In other words, when the target user to be evaluated is determined, and the second and third related information is included in the registration information registered by the other user whose target user has registered the identifier, An assessment of the magnitude of influence is performed. Hereinafter, the registration information will be described with reference to FIG.

  FIG. 13 is a diagram for describing registration information. In FIG. 13, “the user who performed the registration operation” and the registered “type of information included in the registration information” are shown. For example, the registration information registered by the “target user” (the first registration information described above) may include “an identifier of the partner user (first identifier)” and “first related information”. It is shown. In addition, the registration information registered by the “other user” includes “target user identifier” and “second related information”, “third party user identifier”, and “third related information”. It is shown that some of them contain "information". Hereinafter, identifiers corresponding to the second and third related information are referred to as second and third identifiers, respectively, and corresponding registration information is also referred to as second and third registration information. Each registration information may include information (information not shown in FIG. 13) other than the identifier and the related information.

Also in the third embodiment, the removal by the removing unit 102 may be performed. However, in order to simplify the description, a case where this removal is not performed will be described below. When the registration information acquired by the information acquisition unit 101 includes the second and third registration information, the evaluation unit 103 and the generation unit 104 operate as follows.
The evaluation unit 103 evaluates the magnitude of influence according to the number of second related information and the number of third related information included in the registration information acquired by the information acquisition unit 101. The evaluation unit 103 performs this evaluation based on the expectation level information generated by the generation unit 104.
The generation unit 104 determines the activity of exchange between the other user and the target user expected according to the number of second related information included in the second registration information acquired by the information acquisition unit 101, and the acquired third The degree of expectation information in which the degree of expectation reflects the activity of exchange between the other user and the third party user expected according to the number of the third related information included in the registered information is generated.

For example, the generation unit 104 counts the number of second and third related information for each of the second and third registration information, and generates a sum of them as expectation degree information. A specific example will be described. For example, the generation unit 104 counts a value of “100” as the number of second and third related information acquired for the target user F, and the second and third related information acquired for the target user G. The number “200” was counted. In this case, the generation unit 104 generates expectation level information that represents the degree of expectation with the numerical value “100” for the target user F, and expectation level information that represents the degree of expectation with the numerical value “200” for the target user G. Is generated. In this example, the evaluation unit 103 compares the target user F with the influence of the target user F because the target user G has a higher degree of expectation represented by the expectation level information generated by the generation unit 104 than the target user F. It is evaluated that the influence of the target user G is greater. In this way, the evaluation unit 103 evaluates the magnitude of influence in the present modification.
In the above example, the generation unit 104 counts the number of second and third related information for each of the second and third registration information, and generates a total value as the expectation degree information. However, the expectation level information may be generated using only the value obtained by counting the number of second related information for each second registered information, and the number of third related information may be set for each third registered information. The degree of expectation information may be generated using only the values counted in step (b).

  In the present embodiment, unlike the first and second embodiments, the magnitude of influence is generated based on the registration information (second and third related information) registered by the other user rather than the target user. It is evaluated using degree information. That is, the first and second embodiments can be used to evaluate the magnitude of the influence of a user on other users without using the contents of user exchanges performed using the communication service. It is the same.

  As with the first related information, the more the other users who have registered more second and third related information, the more actively interacting with the third party users, the influence of the target users to those third party users Can be expected to communicate. For example, evaluation of the magnitude of influence according to the number of identifiers (first identifiers) of the other users registered by the target users F and G or the number of first related information (first and second) Assume that the evaluation in the embodiment is the same. Even in such a case, according to the present embodiment, among the target users F and G, a person who is expected to actively interact with a third party user (in the above example, the target user) G) is evaluated as having a great influence. As described above, according to the present embodiment, even if the target users have no difference in the range and activity of the exchanges performed by the target users themselves, the exchanges expected between the other users and the third party users. It is possible to evaluate the difference in the magnitude of influence depending on the level of activity.

[4] Fourth Embodiment Hereinafter, a fourth embodiment of the present invention will be described focusing on differences from the first to third embodiments. In the first to third embodiments, the magnitude of the influence is evaluated using either one of the identifier and the related information. In the present embodiment, the magnitude of the influence is obtained using both of them. Evaluation of the length is performed.

In the present embodiment, the evaluation unit 103 evaluates the magnitude of influence by two methods. In the first method, the evaluation unit 103 obtains the magnitude of influence according to the number of related information included in the acquired registration information, and determines the obtained evaluation as the number of identifiers included in the acquired registration information. The value corrected according to is used as the evaluation of the magnitude of influence. Also in the present embodiment, the evaluation unit 103 evaluates the magnitude of influence based on the expectation information generated by the generation unit 104.
The generation unit 104 corrects the activity of exchange expected according to the number of related information included in the acquired registration information according to the number of identifiers included in the acquired registration information, and Expectation degree information that reflects the degree of activity in the degree of expectation is generated.

The evaluation unit 103 and the generation unit 104 may use all of the first registration information, the second registration information, and the third registration information illustrated in FIG. Hereinafter, a case where the evaluation unit 103 and the generation unit 104 use the first registration information will be described with a specific example.
For example, the generation unit 104 counts a value of “100” as the number of first related information acquired for the target users H and J, and “10” and “100” as the number of first identifiers. Count each value. For example, the generation unit 104 calculates a value obtained by dividing the number of first related information by the number of first identifiers (hereinafter referred to as “first division value”). The first division value represents the number of first related information per one first identifier. The generation unit 104 stores a correction table in which values (hereinafter referred to as “related information correction values”) used for correcting the number of first related information are associated with the first division value.

  FIG. 14 is a diagram illustrating an example of the correction table. In the example of FIG. 14, when the “first division value” is “less than 3”, “3 or more and less than 5”, and “5 or more”, the “related information correction value” is “0.8”, “ 1.0 "and" 1.2 ". The generation unit 104 refers to the correction table, and if the division value is 5 or more, the generation unit 104 increases the value by 1.2, and if the division value is 3 or more and less than 5, it increases the value by 1.0. If so, multiply by 0.8. In the case of the target user H, since the number of first related information (100) ÷ number of identifiers (10) = 10, the generation unit 104 sets the number of first related information to 100 × 1.2 = 120. to correct. In addition, since the target user J is 100 ÷ 100 = 1, the generation unit 104 corrects the number of first related information to 100 × 0.8 = 80. The generation unit 104 generates the corrected number of first related information as the expected degree information. In this example, the evaluation unit 103 has a higher target degree of expectation represented by the generated expectation degree information, that is, the influence of the target user H is larger than the influence of the target user J. And evaluate.

  For example, when both the target users H and J register one first identifier for one partner user, the target user J interacts with 100 partner users, whereas the target user H interacts with only 10 other users. That is, it is assumed that the target user H is interacting in a narrower range than the target user J (the alternating range is narrow). On the other hand, compared to the target user J, the target user H has a longer time to interact with each other user, and as a result, the target user H is expected to perform high-density alternating current. On the contrary, it is assumed that the target user J has a shorter time to interact with each other user than the target user H, and as a result, the density of the alternating current is reduced.

  Therefore, even if the same number of first related information of “100” is registered, the first related information registered by the target user H is more active than the information registered by the target user J. It is expected to contribute to this. In other words, it is expected that the target user H is more active than the target user J. Thus, in the present embodiment, the magnitude of the influence can be evaluated by reflecting that the degree to which the first related information contributes to active AC changes according to the width of the AC range. it can. As a result, even if the target users have no difference in the activity of exchange expected according to the number of related information (first related information in the above example), each identifier (in the above example, The difference in the magnitude of the influence can be evaluated by the difference in the range of alternating current expected according to the number of the first identifier).

  Subsequently, the second method will be described. In the second method, the evaluation unit 103 obtains the magnitude of influence according to the number of identifiers included in the acquired registration information, and determines the obtained evaluation as the number of related information included in the acquired registration information. The value corrected according to the bias is used as the evaluation of the magnitude of the influence. In addition, the generation unit 104 corrects the expected AC range according to the number of identifiers included in the acquired registration information according to the bias in the number of related information included in the acquired registration information, and The degree of expectation information that reflects the range of exchange that has been performed in the degree of expectation is generated.

Also in the second method, the evaluation unit 103 and the generation unit 104 may use all of the first, second, and third registration information, or some of them. Hereinafter, a case where the evaluation unit 103 and the generation unit 104 use the first registration information will be described with a specific example.
For example, the generation unit 104 counts a value of “100” as the number of identifiers acquired for the target users K and L, for example. Further, the generation unit 104 calculates an average value and standard deviation of the number of first related information per first registration information, and a value obtained by dividing the standard deviation by the average value (referred to as “second division value”). Is calculated. For the target users K and L, the generation unit 104 calculates, for example, “0.2” and “0.6” as the second division value. The larger the second division value, the larger the standard deviation relative to the average value, that is, the larger the deviation of the number of first related information for each counterpart user. The generation unit 104 stores a correction table in which values used for correcting the number of first identifiers (referred to as “identifier correction values”) and second division values are associated with each other.

  FIG. 15 is a diagram illustrating an example of the correction table. In the example of FIG. 15, when the “second division value” is “less than 0.3”, “0.3 or more and less than 0.5”, and “0.5 or more”, the “identifier correction value” is It is shown that they are “1.0”, “0.9” and “0.8”. The generation unit 104 corrects the number of first identifiers with reference to the correction table. Since the second division values are “0.2” and “0.6” for the target users K and L, the generation unit 104 sets the number of the first identifiers to 100 × 1.0 = 100 and Corrections are made to 100 × 0.8 = 80, respectively. The generation unit 104 generates the corrected number of first identifiers as expectation degree information. In this example, the evaluation unit 103 has a higher target degree of expectation represented by the generated expectation degree information, that is, the influence of the target user K is larger than that of the target user L. And evaluate.

  The target users K and L register the same number of first identifiers, but the second division value, that is, the above-described bias of the number of the first related information for each counterpart user is different. Target user K is compared to the target user L, and is expected to have evenly alternating with any other user for this deviation is small. On the other hand, the target user L has a large deviation compared to the target user K, and thus the target user L is interacting with some of the other users at a high density, while the other user is having a lower density of alternating current. is assumed. That is, the target user L has a narrower range of AC expected according to the number of first identifiers than the target user K. According to this embodiment, the magnitude of the influence can be evaluated by reflecting such a change in the range of alternating current due to the above-mentioned bias. As a result, even if the target users (target users K and L in the above example) have no difference in the range of exchange expected according to the number of identifiers (first identifier in the above example), The difference in the magnitude of the influence can be evaluated based on the difference in the number of related information included in each registration information (the first related information included in the first registration information in the above example).

[Modification]
Each embodiment mentioned above is only an example of implementation of the present invention, respectively, and may be modified as follows. Moreover, you may implement combining each embodiment mentioned above and each modification shown below as needed.

[Modification 1]
In each of the above-described embodiments, the information processing apparatus 10 does not use the content of the AC that the users performed in the past using only the registration information (AC content). The magnitude of the force may be evaluated. The content of exchange includes, for example, a past call outgoing / incoming history, an e-mail transmission / reception history, an exchange performed in the past in SNS (tweet or retweet in the case of Twitter (registered trademark)), and the like.
FIG. 16 is a diagram illustrating an example of a functional configuration realized by the information processing apparatus 10a according to the present modification. The information processing apparatus 10a includes an AC content acquisition unit 106 in addition to the units illustrated in FIG.

  The AC content acquisition unit 106 is AC content acquisition means for acquiring content that the target user (one user) exchanges with another user (that is, with the other user) using the communication service. There are various methods for the AC content acquisition unit 106 to acquire the AC content, but there are roughly two ways. The first is a method used when AC content is stored in an external device, and the second is a method used when the own device stores AC content. In the case of the first method, the control device 11 and the communication device 13 cooperate to realize the function of the AC content acquisition unit 106. The control device 11 transmits request data for requesting the user's AC content together with the user identifier to the server device via the communication device 13. When the request data is transmitted, the server device responds to the request indicated by the request data, and exchanges the AC content data indicating the AC content of the user identified by the identifier transmitted together with the identifier. 10 to send. The control device 11 receives the AC content data and the identifier transmitted from the server device in response to the request data. The control device 11 acquires the AC content indicated by the AC content data thus received as the AC content of the user identified by the received identifier.

  In the case of the second method, the control device 11 and the storage device 12 cooperate to realize the function of the AC content acquisition unit 106. This method is used when AC content data indicating the AC content of a user in a communication service provided by the information processing apparatus 10 is stored in the storage device 12 of the own device in association with an identifier for identifying the user. The control device 11 reads the AC content data stored in association with the user identifier from the storage device 12 at a predetermined timing (for example, every week), and displays the AC content indicated by the read AC content data. , To obtain the user's exchange content. The AC content acquisition unit 106 supplies the evaluation unit 103 with the user identifier and the acquired AC content of the user.

  The evaluation unit 103 evaluates the magnitude of influence based on the expectation level information generated by the generation unit 104. The generation unit 104 calculates the net number of the other user based on the content of the AC acquired by the AC content acquisition unit 106, and the expected range of the target user's AC according to the calculated number is the degree of expectation Expectation level information reflected in is generated. The generation unit 104 stores the AC content supplied from the AC content acquisition unit 106 in association with the supplied identifier. When generating the target user expectation level information, the generation unit 104 extracts the identifier of the partner user with whom the target user has exchanged from the stored identifier. The generation unit 104 removes duplicate identifiers from the extracted identifiers and counts the number of remaining identifiers. The number thus counted represents the net number of the other user.

  The generation unit 104 generates, as expected degree information, the calculated net number added to the number of first identifiers, for example. Accordingly, the generation unit 104 counts each first identifier that has been registered but is not actually exchanged as “1”, and each first identifier that is actually exchanged is “2”. Will be counted. For example, it is assumed that the number of first identifiers and the calculated net number are “100” and “80” for the target user M and “100” and “20” for the target user N, respectively. In this case, the generation unit 104 generates a numerical value of 100 + 80 = 180 as the expected degree information of the target user M, and generates a numerical value of 100 + 20 = 120 as the expected degree information of the target user N. Then, the evaluation unit 103 evaluates that the influence of the target user M having a large degree of expectation information is larger than the influence of the target user N. As described above, the evaluation unit 103 calculates the net number of the other user based on the content of the AC acquired by the AC content acquisition unit 106, and evaluates the magnitude of the influence according to the calculated number.

In addition, the production | generation part 104 may produce | generate expectation degree information not only using said example but using the calculated net number variously. For example, the generation unit 104 may add a value obtained by multiplying the calculated net number by a predetermined value to the number of first identifiers. The generation unit 104 also calculates a ratio of the calculated net number to the number of first identifiers (referred to as “net user number ratio”), a value used for correcting the number of first identifiers (identifier correction value), and Is stored in the correction table.
FIG. 17 is a diagram illustrating an example of the correction table. In the example of FIG. 17, when the “net user number ratio” is “less than 0.3”, “0.3 or more and less than 0.7”, and “0.7 or more”, the “identifier correction value” is “ It is shown that it is 0.8, “1.0” and “1.2”. The generation unit 104 corrects the number of first identifiers with reference to the correction table. In the case of the target users M and N, the generation unit 104 sets the number of first identifiers to 100 × 1.2 = 120 and 100 because the net user number ratios are “0.8” and “0.2”, respectively. Each correction is made to x0.8 = 80.

  In this modification, as described above, in addition to the registration information, the magnitude of the influence is evaluated using the AC content. The other user who has acquired this exchange content is the user who the target user has actually exchanged, and therefore the influence of other users who have not received the exchange content is influenced by the exchange using the communication service. Is more likely to be transmitted. In this modification, as the number of other users from whom AC content has been acquired increases, the degree of expectation described above is increased to generate influence information, and the magnitude of influence is evaluated based on the generated expectation degree information. doing. According to such a modified example, the accuracy of the degree of expectation represented by the expectation information can be increased as compared with the case where the AC content is not used, and as a result, the accuracy of the influence evaluation is also increased. Can do.

[Modification 2]
In each of the above-described embodiments, the generation unit 104 generates the target user's expectation level information. In addition, for example, the generation unit 104 may generate the other party's expectation level information (hereinafter referred to as “partner expectation level information”). . Specifically, the generation unit 104 generates expectation level information (partner expectation level information) when the other user is the target user based on the acquired registration information, and the generated expected level information is the degree of expectation. The expectation degree information about the target user reflected in is generated.
A specific example will be described. In this example, the generation unit 104 includes first, second, and third related information (that is, related information of the partner user registered by the target user, related information of the target user registered by the partner user, and the partner for each partner user. The number of related information of third party users registered by the user) is counted, and the total number of the related information counted for each partner user (referred to as “number of partner information”) is generated as the expected degree information. . The generation unit 104 stores a correction table in which partner expectation information is associated with a value used to correct the number of partner information (correction value for the number of partner information).

  FIG. 18 is a diagram illustrating an example of the correction table. In the example of FIG. 18, when the “partner expectation information” is “less than 50”, “50 or more and less than 100”, and “100 or more”, the “correction value for the number of partner information” is “0.8”, “ 1.0 "and" 1.2 ". The generation unit 104 refers to the correction table illustrated in FIG. 18 to correct the number of partner information for each partner user, and generates a sum of the corrected values as the expectation information. For example, the partner expectation information of P, Q, and R, which are partner users of the target user O, is “40”, “80”, and “120”, respectively, and the partner information numbers are “30”, “90”, and “110”. ”. In that case, the generation unit 104 corrects the numbers of P, Q, and R partner information to 30 × 0.8 = 24, 90 × 1.0 = 90, and 110 × 1.2 = 121, respectively. The generation unit 104 performs correction in the same manner for other partner users, and generates the total number of corrected partner information as the expected degree information.

  As described above, in the present modification, the evaluation unit 103 further affects other users based on at least the registration information registered by the other user among the registration information acquired by the information acquisition unit 101. Evaluate the magnitude of influence. Specifically, the evaluation unit 103 performs this evaluation based on the partner expectation level information. Then, the evaluation unit 103 determines the magnitude of the influence of the target user on other users based on the evaluation result and at least the registration information registered by the target user (first related information in the above example). To evaluate.

  The greater the influence that the other user has on the other users, the higher the possibility that the influence of the target user will be transmitted to the other users by the other user. In this modified example, as described above, the magnitude of the influence of the target user is evaluated using the result of evaluating the magnitude of the influence of the other user in addition to the registration information. According to such a modification, the accuracy of the degree of expectation represented by the expectation information can be increased as compared with the case where the result of evaluating the influence of the other user is not used. The accuracy of evaluation can be improved.

[Modification 3]
The generation unit 104 generates the expectation level information using the first, second, and third related information or the first identifier in each of the embodiments and the modifications described above, but the second and third identifiers are generated. Expectation degree information may be generated using. Thereby, the evaluation unit 103 evaluates the magnitude of the influence of the target user according to the number of the second and third identifiers.

  Further, the generation unit 104 may generate the impact information using all of the first, second, and third identifiers and the first, second, and third related information, or a part of them. The degree of influence information may be generated using. The part mentioned here may be any one of these identifiers and related information, or a plurality of combinations. For this reason, when the evaluation unit 103 in this modification performs an evaluation using an identifier, the identifier includes all of the first, second, and third identifiers, any two, or any one. become. Similarly, when related information is used, the related information includes all of the first, second, and third related information, any two, or any one. In addition, when using a part of each identifier and each related information, the generation unit 104 uses at least the registration information registered by the target user (that is, the first identifier, the first related information, or both). It is desirable to generate impact information. When the generation unit 104 generates the influence information in this way, the evaluation unit 103 also evaluates the magnitude of the influence of the target user on other users using at least the registration information registered by the target user. It will be.

[Modification 4]
The generation unit 104 generates the influence degree information using the weight according to the type of the communication service assigned to the first identifier in the first embodiment, but the second and third identifiers, the first and first identifiers are generated. Similar weights may be assigned to the second and third related information, and the influence information may be generated using the assigned weights. In addition, the generation unit 104 gives a greater weight when both the target user and the other user or the other user and the third party user register identifiers or related information to each other than when only one of them registers. It may be given. In the former case, since there is a high possibility that both parties exchange with each other compared to the latter case, it is possible to increase the accuracy of the degree of expectation represented by the expectation degree information.

  In addition, the generation unit 104 assigns weights to each of the six types of information, ie, the first, second, and third identifiers, and the first, second, and third related information, and uses the assigned weights to expect information. May be generated. For example, the generation unit 104 includes information registered by the other user (that is, the second, third identifier, second, and second) in the information registered by the target user (that is, the first identifier and the first related information). The influence degree information may be generated by assigning a larger weight than the related information 3). The generation unit 104 is not limited to this, and may assign various weights to each identifier and each related information.

In addition, for example, the information acquisition unit 101 acquires identifiers and related information in association with the date and time when the information was registered, and the generation unit 104 assigns a weight according to the registered date and time to the identifier and related information. The degree of influence information may be generated. For example, the generation unit 104 may give a larger weight as the registered date and time are older, or conversely give a larger weight as the registered date and time is newer.
In short, the generation unit 104 only needs to assign a weight to the registration information acquired by the information acquisition unit 101 by a predetermined method and generate the influence information using the assigned weight. As a result, the evaluation unit 103 evaluates the magnitude of the influence by reflecting the weight thus given to the registration information.

[Modification 5]
In the example described above, the generation unit 104 generates the expectation level information using the correction tables illustrated in FIGS. 14, 15, 17, and 18. However, the generation unit 104 generates the expectation level information using a correction table other than these. Each may be generated. Each of these correction tables shows three correction values used for correcting the number of identifiers or the number of related information (the number of partner information is also the number of related information). Alternatively, four or more correction values may be indicated. The values associated with the correction values in these correction tables are all values calculated based on the acquired registration information, and are hereinafter referred to as “calculated values”. In the correction table shown in each figure, the correction value decreases as the calculated value increases. However, the correction value is not limited to this, and the correction value may increase as the calculated value increases.

For example, in the example of FIG. 14, when the first division value exceeds 100, that is, when 100 or more pieces of related information are registered for one identifier, the related information is simply used for exchange. Is not necessarily registered, and there is a possibility that related information is registered for some other purpose. In that case, if the first division value is 5 or more and less than 100, the correction value of the related information is set to 1.2. If the first division value is 100 or more, the correction value of the related information is set to 0.8. And so on.
In addition, the generation unit 104 uses the value obtained by substituting the number of identifiers or the number of related information into a predetermined mathematical formula determined according to the range of the calculated value without using the correction table, and uses the value obtained from the expectation degree information. It may be generated. In this case, the number of identifiers or the number of related information is corrected by mathematical expressions. As described above, the generation unit 104 corrects either or both of the number of identifiers and the number of related information included in the registration information according to the calculated value, and generates the degree of expectation information.

[Modification 6]
The generation unit 104 generates the expectation degree information represented by a numerical value in each of the above-described embodiments and modifications, but the present invention is not limited to this. For example, the generation unit 104 can use various words such as “more”, “ordinary”, and “less”, “A”, “B” and “C”, “level 3”, “level 2”, and “level 1”. Expectation degree information represented by symbols or symbols may be generated. Any of these expectations information may represent the degree of expectation that the influence of the target user is communicated to other users by the exchange using the communication service. Any information can be used as long as the degree of expectation can be compared.

  For example, the target user S for which the expectation level information of “many”, “A” or “level 3” is generated and the target user T for which the expectation level information of “normal”, “B” or “level 2” is generated Then, the target user S is evaluated as having a greater influence than the target user T. In addition, as long as these words and symbols are determined in advance, either of them may indicate that the influence is greater (in other words, “C” is more preferable than “A”, contrary to the above example). May also indicate that the influence is greater, or “level 1” may represent greater influence than “level 3”). Further, the impact information generated by the generation unit 104 is not limited to the level of influence expressed in three levels as in the above example, but may be expressed in two levels, or in four or more levels. It may represent.

[Modification 7]
The operations of acquiring registration information by the information acquisition unit 101, generating impact information by the generation unit 104, and evaluating the magnitude of influence by the evaluation unit 103 are performed at timings different from those described in FIG. It may be broken. For example, in the example of FIG. 10, the information processing apparatus 10 performs these operations in advance before the evaluation result is requested, but may perform these operations after the evaluation result is requested. In that case, the magnitude of the influence can be evaluated based on the newest registration information.
Further, the information processing apparatus 10 may perform the generation of the impact information before the evaluation result is requested, or may only acquire the registration information. As the number of operations performed before the evaluation result is requested increases, the number of operations performed when the evaluation result is requested decreases, and the time required for transmitting the evaluation result data can be shortened.

[Modification 8]
The information processing apparatus may not include the removing unit 102.
FIG. 19 is a diagram illustrating an example of a functional configuration realized by the information processing apparatus 10b according to the present modification. The information processing apparatus 10b includes the information acquisition unit 101, the evaluation unit 103, and the processing unit 105 illustrated in FIG. The information acquisition unit 101 supplies the acquired registration information to the evaluation unit 103. The evaluation unit 103 evaluates the magnitude of the influence based on the registration information supplied from the information acquisition unit 101. This registration information may include identifiers that identify items other than individuals, but if the ratio (referred to as “non-personal ratio”) to the number of identifiers that identify individuals is less than a predetermined ratio. (For example, less than 1%) The accuracy of the degree of expectation represented by the expectation level information can be set to a predetermined level or higher without performing removal by the removal unit 102. The predetermined level referred to here is the accuracy of the degree of expectation represented by the degree of expectation information when the non-individual proportion is 1% when the predetermined proportion is 1%.

[Modification 9]
In each of the above-described embodiments, as described in FIGS. 4 and 10, the information processing apparatus 10 performs all three operations of obtaining registration information, removing registration information, and generating impact information. The communication terminal may perform part or all of these operations.
FIG. 20 is a diagram illustrating an example of a functional configuration realized by the information processing system according to the present modification. In FIG. 20, only one of a plurality of communication devices provided in the information processing system is shown. 20A, an information processing system 1b including the information processing apparatus 10b illustrated in FIG. 19 and a communication terminal 20b including a removal unit 202 having the same function as the removal unit 102 not included in the information processing apparatus 10b. It is shown. As shown in FIG. 20 (a), when each communication terminal 20b includes an identifier for identifying something other than an individual in the registration information stored in its own device, You may transmit to the information processing apparatus 10b.

  20B shows an information processing system 1c including a communication terminal 20c including an information acquisition unit 201, a removal unit 202, and a generation unit 204, and an information processing apparatus 10c including an evaluation unit 103c and a processing unit 105. Yes. The information acquisition unit 201, the removal unit 202, and the generation unit 204 have the same functions as the information acquisition unit 101, the removal unit 102, and the generation unit 104. However, the information acquisition unit 201 acquires only registration information stored in its own device. In addition, the generation unit 204 uses the first identifier when the user who registered the registration information stored in the own device, that is, the user who uses the own device (referred to as “own device user”), as the target user, Expectation degree information is generated according to the number of first related information. The generation unit 204 transmits the generated expectation degree information to the information processing apparatus 10c. The evaluation unit 103c of the information processing device 10c evaluates the magnitude of influence when each user is a target user, based on the expectation information transmitted from the communication terminal 20c.

20C illustrates an information system 1d including the information processing apparatus 10c illustrated in FIG. 20B and a communication terminal 20d including the information acquisition unit 201 and the generation unit 204. In this case, the expectation information is generated without being removed by the removal unit 202.
In this modification, operations such as acquisition of registration information, removal of registration information, and generation of expectation information are distributed to a plurality of communication terminals. This reduces the load on resources such as the CPU and memory included in the information processing apparatus and the operation performed by the information processing apparatus in the evaluation process, compared to the case where the information processing apparatus performs these operations in a concentrated manner. Time can be shortened.

[Modification 10]
The evaluation unit 103 may generate evaluation result data other than that shown in FIG. For example, the evaluation unit 103 may generate the evaluation result data shown in FIG. 9 excluding “order of magnitude of influence” or excluding “expectation degree information” as evaluation result data. . Further, the evaluation unit 103 may generate, for example, evaluation result data in which the target users are not arranged in order of magnitude of influence as shown in FIG. . In this case, the communication terminal 20 may be arranged and displayed in order based on the ranking of the magnitude of influence and the magnitude of the expectation information. In addition, the evaluation unit 103 includes evaluation result data including the number of registration information used when the generation unit 104 generates the expected degree information, the first and second division values, and the other party's expected degree information. May be generated. Thus, by showing the grounds for evaluating the magnitude of the influence, the user can easily determine the accuracy of the evaluation.

[Modification 11]
In the example described in the first acquisition method, the information acquisition unit 101 acquires registration information managed by the function of a program (such as a telephone book) for using a communication service. However, the information acquisition unit 101 is not limited to this. . The information acquisition unit 101 may acquire registration information managed by a function of a program that is not directly used in the communication service, such as New Year's card software or address book software. In short, the information acquisition unit 101 is registration information registered by a user, and registration information including an identifier for identifying, in the communication service, another user with whom each user interacts using the communication service. Anything can be acquired.

[Modification 12]
For example, when the registration information includes a plurality of identifiers, the generation unit 104 may generate the expectation information by counting only one identifier. In this case, for example, even if three identifiers of a telephone number, an e-mail address, and an SNS account are registered for 10 other users, the generation unit 104 does not use the total of 30 identifiers, Expectation degree information in which the degree of expectation is represented by a numerical value of 10, which is the number of people in the list, is generated. According to this modification, expectation degree information that reflects the net number of opponent users in the degree of expectation can be generated.

[Modification 13]
The generation unit 104 may generate the degree of expectation information using registration information registered by a third party user (a user other than the target user with whom the other user interacts). In addition, the generation unit 104 expects using registration information registered by a user other than the target user and the other user (referred to as “fourth user”) with whom the third party user interacts using the communication service. The degree information may be generated. As described above, the generation unit 104 is a user (referred to as an “indirect user”) whose target user's influence is indirectly transmitted from the target user via another user. The expectation level information may be generated using registration information registered by other users with whom the fourth user interacts and other users who interact with the fourth user.

  Since these indirect users may also receive the influence of the target user through other users (other users, etc.) sandwiched between the target user, these indirect users themselves also exert the influence of the target user. May be communicated to other users. However, since the influence from the target user often weakens while passing through other users, the degree to which the indirect user is expected to transmit the influence is sandwiched between the indirect user and the target user. The smaller the number of other users, the smaller the size. For example, the generation unit 104 assigns a weight to the registration information registered by the indirect user that decreases as the number of users sandwiched between the indirect user and the target user increases, and uses the assigned weight to expect Generate information. Thereby, compared with the case where a weight is not provided to the registration information by an indirect user, the precision of the expectation degree represented by expectation degree information can be improved.

[Modification 14]
The evaluation unit 103 may not include the generation unit 104. In this case, for example, the evaluation unit 103 compares the target users S and T, and if the number of identifiers registered by the target user S is larger than the number of identifiers registered by the target user T, the target user S It is evaluated that the influence of the target user S is greater than the influence of T. As described above, the evaluation unit 103 has no influence on the generation unit 104 when the number of pieces of registration information acquired by the information acquisition unit 101 is simply compared in each of the above-described embodiments and modifications. The magnitude of force can be evaluated.

[Modification 15]
In addition to the information processing apparatus and the information processing system, the present invention can also be understood as an information processing method for realizing processing performed by the information processing apparatus and the information processing system. The processing here is, for example, the evaluation processing shown in FIG. The present invention can also be understood as a program for causing a computer such as an information processing apparatus to function as each unit shown in FIGS. 4, 16, 19, and 20. This program may be provided in the form of a recording medium such as an optical disk storing the program, or may be provided in the form of being downloaded to a computer via a network such as the Internet, and making it available for installation. You may do.

DESCRIPTION OF SYMBOLS 1 ... Information processing system, 2 ... Network, 10 ... Information processing apparatus, 20 ... Communication terminal, 11, 21 ... Control apparatus, 12, 22 ... Storage device, 13, 23 ... Communication apparatus, 101 ... Information acquisition part, 102 ... Removal unit 103 ... Evaluation unit 104 ... Generation unit 105 ... Processing unit 106 ... AC content acquisition unit

Claims (11)

An identifier that is registered by a user belonging to a group of users who perform exchanges using a communication service, and that identifies other users with whom each user exchanges using the communication service in the communication service And information acquisition means for acquiring registration information including related information that is information other than the identifier related to a partner with whom the user exchanges using the communication service ;
The magnitude of the influence of one user belonging to the user group on other users is based on at least registration information registered by the one user among the registration information acquired for each user by the information acquisition means. An information processing apparatus comprising: evaluation means for evaluating, and evaluation means for evaluating the magnitude of the influence according to the number of the related information included in the acquired registration information . The information processing apparatus according to claim 1 , wherein the related information includes information other than the identifier related to a partner with which the one user exchanges using the communication service. The related information is information other than the identifier related to the one user, and includes information registered by a partner with whom the one user interacts using the communication service. The information processing apparatus according to 1 or 2 . The related information is information related to a user other than the one user with whom the one user exchanges using the communication service exchanges with the communication service, and is registered by the partner. The information processing apparatus according to any one of claims 1 to 3 , wherein the information processing apparatus includes: The evaluation means obtains the magnitude of the influence according to the number of the related information included in the acquired registration information, and determines the obtained evaluation as the number of the identifiers included in the acquired registration information. The information processing apparatus according to any one of claims 1 to 4 , wherein a value corrected according to the evaluation is used as an evaluation of the magnitude of the influence. The evaluation means obtains the magnitude of the influence according to the number of the identifiers included in the acquired registration information, and evaluates the obtained evaluation for the number of the related information included in the acquired registration information. The information processing apparatus according to any one of claims 1 to 4 , wherein a value corrected according to the bias is used as an evaluation of the magnitude of the influence. An identifier that is registered by a user belonging to a group of users who perform exchanges using a communication service, and that identifies other users with whom each user exchanges using the communication service in the communication service Information acquisition means for acquiring registration information including:
A removing means for removing the registered information when the registered information includes the identifier for identifying something other than an individual ;
The magnitude of the influence of one user belonging to the user group on other users is based on at least registration information registered by the one user among the registration information acquired for each user by the information acquisition means. An evaluation means for evaluating, wherein, among the acquired registration information, an evaluation means for evaluating the magnitude of the influence based on the registration information excluding the information removed by the removal means;
The information processing apparatus comprising: a. An identifier that is registered by a user belonging to a group of users who perform exchanges using a communication service, and that identifies other users with whom each user exchanges using the communication service in the communication service Information acquisition means for acquiring registration information including:
The magnitude of the influence of one user belonging to the user group on other users is based on at least registration information registered by the one user among the registration information acquired for each user by the information acquisition means. An evaluation means to evaluate;
And a AC content acquisition means for acquiring contents which the one user using the communication service to chat with other users to the other party,
The evaluation means calculates the net number of the opponent based on the contents of the AC acquired by the AC content acquisition means, and evaluates the magnitude of the influence according to the calculated number. Information processing apparatus. The information processing apparatus is registered information registered by a user belonging to a group of users who perform exchanges using a communication service, and each user communicates with another user with whom the user exchanges using the communication service. An information acquisition step of acquiring registration information including an identifier identified in a service, and related information that is information other than the identifier related to a partner with whom the user exchanges using the communication service ;
The information processing apparatus registers the magnitude of the influence of one user belonging to the user group on other users by at least one of the registration information acquired for each user in the information acquisition step. An evaluation step for evaluating based on the registered information, and an evaluation step for evaluating the magnitude of the influence according to the number of the related information included in the acquired registration information. Information processing method. The information processing apparatus is registered information registered by a user belonging to a group of users who perform exchanges using a communication service, and each user communicates with another user with whom the user exchanges using the communication service. An information acquisition step of acquiring registration information including an identifier identified in the service;
When the information processing apparatus includes the identifier for identifying something other than an individual in the registration information, a removal step of removing the registration information;
The information processing apparatus registers the magnitude of the influence of one user belonging to the user group on other users by at least one of the registration information acquired for each user in the information acquisition step. An evaluation step for evaluating based on the registered information, wherein an evaluation step is performed for evaluating the magnitude of the influence based on the registration information excluding the acquired registration information that has been removed in the removal step. When
An information processing method comprising: The information processing apparatus is registered information registered by a user belonging to a group of users who perform exchanges using a communication service, and each user communicates with another user with whom the user exchanges using the communication service. An information acquisition step of acquiring registration information including an identifier identified in the service;
The information processing apparatus registers the magnitude of the influence of one user belonging to the user group on other users by at least one of the registration information acquired for each user in the information acquisition step. An evaluation step for evaluating based on the registered information,
AC information acquisition step in which the information processing apparatus acquires the content that the one user has exchanged with another user using the communication service;
With
In the evaluation step, the information processing device calculates a net number of the opponent based on the content of the AC acquired in the AC content acquisition step, and determines the magnitude of the influence according to the calculated number. evaluate
An information processing method characterized by that.

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