JP2012203499A - Influence rate calculating device, influence rate calculating method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an influence rate calculating device, an influence rate calculating method and a program for calculating an influence rate of writing information.SOLUTION: An influence rate calculating device 100 comprises: an information acquisition part 110 for acquiring writing information including retransmission-related information and transmission time information, from social media; a user information acquisition part 120 for acquiring the link number of each user; a diffusion rate calculation part 130 for calculating a diffusion rate of the user based on the acquired retransmission-related information; a time-series list generation part 140 for generating a time-series list of retransmission frequencies based on the retransmission-related information and transmission time information included in the writing information; a reflection degree calculation part 150 for calculating a reflection degree showing a retransmission state in a predetermined period of time; and an influence rate calculation part 160 for calculating an influence rate of each writing information from the reflection degree in the predetermined period of time when the writing information is transmitted, the diffusion rate of the user who transmits the writing information and the link number of the user who has a retransmission relationship.

Description

  The present invention relates to an influence degree calculating device, an influence degree calculating method, and a program for calculating an influence degree of written information transmitted to social media.

  In recent years, influencer marketing that uses influencers to send product information and encourages reviews among consumers has been attracting attention as a marketing technique that replaces advertisements such as TV commercials. Here, an influencer refers to a user who influences consumer behavior. In social media such as a blog, SNS (social networking service), word-of-mouth site, Twitter (registered trademark), other users A person who has a strong influence on is an influencer.

  In influencer marketing, it is important to extract an optimal influencer from a plurality of users. Therefore, as an influencer extraction method, a method of extracting an influencer from community users who share a common interest based on a link relationship between users and user information registered in advance is disclosed. (For example, refer to Patent Document 1).

Special table 2010-515160

  However, the method disclosed in Patent Document 1 does not consider how much the writing information transmitted to social media is spread and how long it is propagated. -There was a problem that it was not possible to calculate the degree of influence of information written on media.

  Therefore, the present invention has been made in view of the above-mentioned problems, and by analyzing how much write information has been diffused and how long the write information has been propagated, the degree of influence of the write information has been analyzed. It is an object to provide an influence degree calculating device, an influence degree calculating method, and a program.

  The present invention proposes the following matters in order to solve the above problems. In addition, in order to make an understanding easy, although the code | symbol corresponding to embodiment of this invention is attached | subjected and demonstrated, it is not limited to this.

  (1) The present invention is an influence degree calculation device for calculating the influence degree of written information sent to social media, the retransmission relation information for specifying the retransmission relation between users and the transmission from the social media The information acquisition means (for example, the information acquisition unit 110 in FIG. 1) that acquires write information including time information and the number of links between other users in the social media are acquired from the social media. Based on user information acquisition means (for example, user information acquisition unit 120 in FIG. 1) and retransmission information included in the write information acquired by the information acquisition means, the write information transmitted by each user is retransmitted. Obtained by a spreading factor calculating means (for example, the spreading factor calculating unit 130 in FIG. 1) for calculating a spreading factor that is a probability of being acquired, and the information acquiring means. A time series list creating means for creating a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission information and the transmission time information included in the written information (for example, the time series list in FIG. 1) A degree-of-reflection calculating unit (for example, the degree-of-reflection calculating unit in FIG. 1) that calculates a degree of reflection indicating a retransmission status in a predetermined time zone based on the time-series list created by the time-series list creating unit. 150) and for the predetermined time zone including the transmission time information included in the write information acquired by the information acquisition means, the reflection degree calculated by the reflection degree calculation means, and the user who has transmitted the write information, the diffusion The user information acquisition for the spreading factor calculated by the rate calculating means and the user who sent the write information and the user who sent the write information again An influence degree calculating apparatus comprising: an influence degree calculating means (for example, the influence degree calculating section 160 in FIG. 1) that calculates the influence degree of each piece of write information based on the number of links acquired by the means. is suggesting.

  According to this invention, an information acquisition means acquires writing information including retransmission information and transmission time information for specifying a retransmission relationship between users from social media. The user information acquisition means acquires the number of links with other users in each user in the social media from the social media. The spreading factor calculating means calculates a spreading factor, which is a probability that the writing information transmitted by each user in the social media is retransmitted based on the retransmission related information included in the writing information acquired by the information acquiring means. To do. The time series list creating unit creates a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission related information included in the write information acquired by the information acquisition unit. The reflection degree calculation means calculates a reflection degree indicating a retransmission status in a predetermined time zone based on the time series list created by the time series list creation means. The influence degree calculating means calculates the diffusion rate for the user who has transmitted the reflection degree calculated by the reflection degree calculating means and the writing information for a predetermined time zone including the transmission time information included in the writing information acquired by the information acquiring means. The degree of influence of each piece of write information is calculated based on the spreading factor calculated by the means, the user who sent the write information, and the user who sent the write information again, based on the number of links acquired by the user information acquisition means. Therefore, a time series list indicating how long the write information is propagated is created, and the influence of the write information is calculated from the reflectivity calculated from the time series list and the diffusion ratio of the write information. Thus, it is possible to calculate the degree of influence taking into account how much the write information is diffused and how long the write information is propagated.

  (2) The present invention calculates the influence of each user based on the degree of influence of each piece of write information calculated by the degree of influence calculation means in the influence degree calculation device of (1), and calculates the calculated influence. It has proposed an influence degree calculating device characterized by comprising an extracting means for extracting a high-power user as an influencer.

  According to this invention, the extraction means calculates the influence of each user based on the influence degree of each writing information calculated by the influence degree calculation means, and extracts the calculated user having a high influence as an influencer. To do. Therefore, it is possible to transmit write information that is widely propagated between users based on the influence level of the write information, and to extract influential users as influencers.

  (3) The present invention relates to the degree-of-influence calculation device according to (1) or (2), wherein the reflection degree calculation means is based on the time series list created by the time series list creation means for each predetermined time period. The influence degree calculating device is characterized in that the reflection degree is calculated by dividing the number of retransmissions by the sum of the number of retransmissions for each predetermined time period.

  According to this invention, the reflection degree calculation means divides the number of retransmissions for each predetermined time period by the sum of the number of retransmissions for each predetermined time period based on the time series list created by the time series list creation means. To calculate the reflection degree. Therefore, the reflection degree can be calculated as the retransmission degree of the write information in the predetermined time period by using the time series list in which the number of retransmissions for each predetermined time period is listed.

  (4) The present invention relates to the degree-of-influence calculation device according to (1) to (3), wherein the spreading factor calculation means includes, for each user, retransmission information included in the write information acquired by the information acquisition means. The influence degree calculating device is characterized in that the spreading factor is calculated by dividing the number of re-transmitted write information calculated based on the total number of write information transmitted by the user.

  According to this invention, the spreading factor calculating means transmits, for each user, the number of retransmissions of the write information calculated based on the retransmission information included in the write information acquired by the information acquisition means. The spreading factor is calculated by dividing by the total number of transmissions of write information. Therefore, using the retransmission relationship information that identifies the retransmission relationship between users, the spreading factor, which is the probability that each user's write information is retransmitted by another user, can be calculated.

  (5) The present invention relates to the degree-of-impact calculation device according to (1) to (4), wherein the time-series list creating unit is based on retransmission information included in the write information acquired by the information acquiring unit. Propagation path analysis means (for example, propagation path analysis section 141 in FIG. 1) that analyzes the propagation path through which the write information propagates and creates propagation path information, and the transmission included in the write information acquired by the information acquisition means Based on the time information and the propagation path analyzed by the propagation path analysis means, a list creation means for creating a time series list in which the number of retransmissions at each propagation stage is listed for each predetermined time zone (for example, FIG. 1) A list creation unit 142), and the reflection degree calculation means indicates a retransmission status of each propagation stage in a predetermined time zone based on the time series list created by the time series list creation means. The reflection degree is calculated, and the influence degree calculation means is included in the write information acquired by the information acquisition means, calculated by the reflection degree calculation means, based on the propagation path analyzed by the propagation path analysis means. The degree of influence is calculated from the degree of reflection of a predetermined time period including the transmission time information to be transmitted, the spreading factor calculated by the spreading factor calculating unit, and the number of links acquired by the user information acquiring unit A calculation device is proposed.

  According to the present invention, the propagation path analysis means analyzes the propagation path through which the write information propagates based on the transmission time information included in the write information acquired by the information acquisition means, and creates propagation path information. Based on the retransmission relationship information included in the write information acquired by the information acquisition unit and the propagation path analyzed by the propagation path analysis unit, the list creation unit calculates the number of retransmissions at each propagation stage for each predetermined time period. Create a list of time series. The reflection degree calculation means calculates a reflection degree indicating the retransmission status of each propagation stage in a predetermined time zone based on the time series list created by the time series list creation means. The influence degree calculating means is based on the propagation path analyzed by the propagation path analyzing means, and is calculated by the reflection degree calculating means and includes a transmission time information included in the write information acquired by the information acquisition means. The influence degree is calculated from the reflection degree, the spreading factor calculated by the spreading factor calculating unit, and the number of links acquired by the user information acquiring unit. Therefore, by analyzing a propagation path that is a stepwise path through which write information propagates, it is possible to calculate the degree of influence of the write information in consideration of the fact that the write information propagates step by step from user to user. .

  (6) In the influence calculation device according to (5), the influence calculation unit is configured such that the influence degree in the n stages of one path among the propagation paths is In, and the diffusion of the users in the n stages of the one path is performed. The rate is Xn, the number of links of the n-stage user of the one path is Fn, and the n-stage reflectivity of the one path includes the transmission time at which the n-stage user transmits the write information. Proposed is an influence degree calculating device characterized in that, when the reflection degree is RTn, the influence degree In in the n stages of the one path is obtained using the equation (1).

  According to the present invention, the influence level In of n stages of one path is the spread ratio Xn of users of n stages of one path, the number of links Fn of users of n stages of one path, and the reflectivity of n stages of one path. Of these, the reflection rate RTn in a predetermined time period including the transmission time when the n-stage user transmits the write information is obtained. Therefore, it is possible to calculate the influence degree In of the write information in the n stages of propagation.

  (7) According to the present invention, in the degree of influence calculation device according to (1) to (6), the spreading factor calculating means calculates the spreading factor based on retransmission information included in write information that has been set for a predetermined period. An influence degree calculating device characterized by calculating is proposed.

  According to the present invention, the spreading factor calculating means calculates the spreading factor based on the retransmission related information included in the write information set for a predetermined period. Therefore, it is possible to calculate the degree of influence of write information in a predetermined period.

  (8) According to the present invention, in the influence degree calculation devices of (1) to (7), the information acquisition means acquires write information that matches a predetermined condition among the write information retransmitted in the social media The influence degree calculation device characterized by doing is proposed.

  According to this invention, the information acquisition means acquires write information that matches a predetermined condition among the write information retransmitted on social media. Therefore, it is possible to calculate the degree of influence of write information that matches a predetermined condition.

  (9) The present invention is an influence calculation method for calculating the influence of written information transmitted to social media, the retransmission relationship information for specifying the retransmission relationship between users and the transmission from social media A first step of acquiring write information including time information (for example, step S1 in FIG. 3) and a number of links with other users in each user in the social media are acquired from the social media. Write information transmitted by each user in the social media based on step 2 (for example, step S2 in FIG. 3) and retransmission information included in the write information acquired in the first step. In the third step (for example, step S3 in FIG. 3) for calculating the spreading factor, which is the probability of being retransmitted, in the first step A fourth step (for example, step S4 in FIG. 3) for creating a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the obtained write information. ), A fifth step (for example, step S5 in FIG. 3) for calculating a reflection rate indicating a retransmission status in a predetermined time zone based on the time-series list created in the fourth step, and the first For the predetermined time zone including the transmission time information included in the write information acquired in the step, the reflectivity calculated in the fifth step, the user who transmitted the write information, and the user who retransmitted the write information , The number of links acquired in the second step, and the spreading factor calculated in the third step for the user who sent the write information Based on this, an influence degree calculation method characterized by including the influence degree of each writing information (for example, steps S6 and S7 in FIG. 3) is proposed.

  According to this invention, first, in the first step, write information including retransmission relationship information for specifying a retransmission relationship between users and transmission time information is acquired from social media. Next, in the second step, the number of links with other users in each user in the social media is acquired from the social media. Next, in the third step, the probability is that the write information transmitted by each user in the social media is retransmitted based on the retransmission related information included in the write information acquired in the first step. Calculate the diffusion rate. Next, in the fourth step, a time-series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired in the first step. create. Next, in the fifth step, a reflection rate indicating a retransmission status in a predetermined time zone is calculated based on the time-series list created in the fourth step. Next, in the sixth step, next, in the sixth step, the reflection calculated in the fifth step for the predetermined time zone including the transmission time information included in the write information acquired in the first step. Based on the number of links acquired in the second step for the user who sent the writing information and the user who sent the writing information again, and the spreading factor calculated in the third step for the user who sent the writing information Thus, the influence degree of each writing information is calculated. Therefore, a time series list indicating how long the write information is propagated is created, and the influence of the write information is calculated from the reflectivity calculated from the time series list and the diffusion ratio of the write information. Thus, it is possible to calculate the degree of influence taking into account how much the write information is diffused and how long the write information is propagated.

  (10) The present invention is a program for causing a computer to execute an influence calculation method for calculating the influence of written information transmitted to social media. The first step (for example, step S1 in FIG. 3) of acquiring write information including re-transmission related information and transmission time information to be identified, and the number of links with other users in each user in the social media, Based on the second step (for example, step S2 in FIG. 3) acquired from the social media and the re-transmission relation information included in the writing information acquired in the first step, A third step of calculating the spreading factor, which is the probability that the write information sent by each user will be sent again (for example, 3) and a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired in the first step. And a fifth step (for example, step S4 in FIG. 3) and a fifth step (a step S4 in FIG. 3) for calculating a reflection degree indicating a retransmission status in a predetermined time period based on the time-series list created in the fourth step. For example, for the predetermined time zone including the transmission time information included in the writing information acquired in step S5) of FIG. 3 and the writing information acquired in the first step, the reflectivity calculated in the fifth step and the writing information are changed. For the user who sent and the user who re-sent the write information, the number of links acquired in the second step and the user who sent the write information Then, based on the spreading factor calculated in the third step, a program for causing a computer to calculate the degree of influence of each writing information (for example, steps S6 and S7 in FIG. 3) is proposed. ing.

  According to this invention, first, in the first step, write information including retransmission relationship information for specifying a retransmission relationship between users and transmission time information is acquired from social media. Next, in the second step, the number of links with other users in each user in the social media is acquired from the social media. Next, in the third step, the probability is that the write information transmitted by each user in the social media is retransmitted based on the retransmission related information included in the write information acquired in the first step. Calculate the diffusion rate. Next, in the fourth step, a time-series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired in the first step. create. Next, in the fifth step, a reflection rate indicating a retransmission status in a predetermined time zone is calculated based on the time-series list created in the fourth step. Next, in the sixth step, for the predetermined time period including the transmission time information included in the write information acquired in the first step, the reflectivity calculated in the fifth step, the user who transmitted the write information, and Based on the number of links acquired in the second step and the spreading factor calculated in the third step for the user who retransmitted the write information and the user who transmitted the write information, the influence of each write information is calculated. calculate. Therefore, a time series list indicating how long the write information is propagated is created, and the influence of the write information is calculated from the reflectivity calculated from the time series list and the diffusion ratio of the write information. Thus, it is possible to calculate the degree of influence taking into account how much the write information is diffused and how long the write information is propagated.

  According to the present invention, the degree of influence of write information can be calculated by analyzing how much write information has been diffused and how long the write information has been propagated.

It is a block diagram of the influence calculation apparatus which concerns on embodiment of this invention. It is a figure which shows an example of the propagation path analyzed by the propagation path analysis part which concerns on embodiment of this invention, and the propagation path information produced. It is a figure which shows an example of the time series list which concerns on embodiment of this invention. It is a flowchart of the influence degree calculation process which concerns on embodiment of this invention. It is a figure explaining the influence analysis example.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that the components in the present embodiment can be appropriately replaced with existing components and the like, and various variations including combinations with other existing components are possible. Therefore, the description of the present embodiment does not limit the contents of the invention described in the claims.

<Configuration of influence calculation device>
FIG. 1 is a configuration diagram of an influence degree calculating apparatus 100 according to an embodiment of the present invention. The influence degree calculating apparatus 100 according to the present embodiment is an apparatus that calculates the influence degree of write information transmitted from the user to the social media 10. Here, the social media is, for example, a blog, an SNS (Social Networking Service), a word-of-mouth site, Twitter (registered trademark), and the like. As illustrated in FIG. 1, the influence degree calculating apparatus 100 includes an information acquisition unit 110, a user information acquisition part 120, a spreading factor calculation part 130, a time series list creation part 140, a reflection degree calculation part 150, and an influence degree calculation part 160. Is provided.

  The information acquisition unit 110 acquires write information including re-transmission relation information between users and transmission time information from the social media 10. Here, the re-transmission relationship refers to the connection between the user who has transmitted the write information and the user who has re-transmitted the write information, and the connection between the write information and the new write information in which the content of the write information is re-displayed. For example, users and tweets connected via Twitter retweets. The re-transmission means transmitting new write information in which the content of the write information transmitted by a certain user is re-posted.

  The retransmission related information is information added to the write information when the write information transmitted by a certain user is retransmitted by another user. For example, the information ID of the retransmitted write information, the write information Including the user ID of the user who re-sent the message, the information ID of the write information that is the basis of the re-send, and the user ID of the user who sent the write information that is the basis of the re-send. The information will be described as including such information. Further, the transmission time information is an elapsed time from the time when the write information that is the basis of the re-transmission is transmitted until the write information is re-transmitted. The transmission time information includes the time when the writing information is retransmitted and the time when the writing information that is the basis of retransmission is transmitted, from the time when the writing information that is the basis of retransmission is transmitted The elapsed time until the write information is retransmitted may be calculated whenever necessary.

  When the information acquisition unit 110 acquires write information from the social media 10, the information acquisition unit 110 searches the write information of the social media 10 on the condition that the write information is transmitted and a keyword included in the content of the write information. The written information may be acquired. Thereby, the influencer in a predetermined period and the influencer about a predetermined keyword can be extracted.

  The user information acquisition unit 120 acquires the number of users linked to each user (hereinafter referred to as the number of links) for each user in the social media from the social media 10. A user in a link relationship is, for example, a user who is a follower in Twitter. In addition, even if only the number of links of the user who transmitted or retransmitted the write information acquired by the information acquisition unit 110 is acquired based on the user ID of the user who transmitted or retransmitted the write information acquired by the information acquisition unit 110 Good.

  Based on the retransmission information included in the write information acquired by the information acquisition unit 110, the spreading factor calculation unit 130, for each user, the number of write information transmitted (number of transmissions) and the transmitted write information The number of write information retransmitted by another user (number of retransmits) is calculated. Next, the spreading factor calculation unit 130 calculates the spreading factor X using the following equation (1). Note that the spreading factor X is the probability that the write information transmitted by each user in the social media is retransmitted. Note that the spreading factor calculating unit 130 may obtain the spreading factor X from the writing information within a predetermined period of the writing information acquired by the information acquiring unit 110. Thereby, the accuracy of the diffusion rate within a predetermined period can be increased.

  The time series list creation unit 140 creates a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired by the information acquisition unit 110 To do. The time series list creation unit 140 includes a propagation path analysis unit 141 and a list creation unit 142.

  The propagation path analysis unit 141 analyzes the propagation path through which each piece of write information propagates based on the retransmission relationship information included in the write information acquired by the information acquisition unit 110. In addition, since write information propagates from user to user, the propagation path is configured in stages by connections between users. Next, the propagation path analysis unit 141 creates propagation path information based on the analyzed propagation path. The propagation path information created from the analysis of the propagation path and the propagation path will be described using the specific example shown in FIG.

  FIG. 2A shows retransmission related information acquired by the information acquisition unit 110. For convenience of explanation, a user name is shown in the user ID column. First, the propagation path analysis unit 141 determines a write information group connected by retransmission, that is, a write information group having a common content. Two groups of information ID = info10, info100, Info110, Info120, and information ID = info20, info200, Info210 are determined from the retransmission related information shown in FIG.

  Next, the propagation path analysis unit 141 analyzes the propagation path for each group of write information based on the relationship of users connected by retransmission. For the write information group including information ID = info10, info100, Info110, and Info120, the information transmitted by the user A is retransmitted by the user B, and the information transmitted by the user B is retransmitted by the user C and the user D Therefore, the propagation path analysis unit 141 analyzes that the propagation path through which the content of the write information info10 transmitted by the user A propagates is a path as shown in FIGS. Similarly, for the write information group of information ID = info20, info200, and Info210, the propagation path through which the content of the write information info20 transmitted by the user E propagates is a path as shown in FIGS. Is analyzed by the propagation path analysis unit 141.

  FIG. 2C shows an example of propagation path information. The propagation path information shown in FIG. 2 (c) is propagation path information created based on the propagation paths in FIGS. 2 (b) and (1). As shown in FIG. 2C, the user A and the user B are associated with each other, and the user B, the user C, and the user D are associated with each other and stored. The propagation path information is created for each write information group having the same content.

  Based on the transmission time information included in the write information acquired by the information acquisition unit 110 and the propagation path analyzed by the propagation path analysis unit 141, the list creation unit 142 retransmits each propagation stage for each predetermined time period. Create a time series list that lists numbers. Specifically, the write information is statistically processed for each stage of the propagation path at predetermined time intervals, the number of retransmissions for each predetermined time slot is calculated for each stage of the propagation path, and a time series list is created.

  Here, the predetermined time zone is a time zone in which the elapsed time since the writing information is transmitted is divided by a predetermined time length. For example, when the predetermined time length is 1 hour, the writing information is transmitted. The time zone is determined such as the time zone from the start of 1 hour to the elapse of 1 hour, the time zone from the elapse of 1 hour to the elapse of 2 hours after the writing information is transmitted. It should be noted that it is possible to arbitrarily set how many hours after the writing information is transmitted how long a time-series list composed of the number of retransmissions is created.

  FIG. 3 is a diagram showing an example of a time series list according to the embodiment of the present invention. From the time-series list shown in FIG. 3, it can be seen that in the first stage of the propagation path, the time from when the write information is first transmitted until one hour elapses is the most retransmitted time zone. In this way, the time series list can grasp the time zone in which the writing information sent to the social media has the most influence (the elapsed time zone since being sent). Further, by obtaining an average for the time zone for each stage of the propagation path, the diffusion time at each stage can be grasped.

  Based on the time series list created by the time series list creation unit 140, the reflection degree calculation unit 150 calculates a reflection degree indicating a retransmission status in a predetermined time zone. Specifically, the reflection rate calculation unit 150 calculates the total number of retransmissions by taking the sum of the number of retransmissions for each time period based on the time series list. Next, the reflection degree calculation unit 150 calculates the reflection degree RT using the following equation (2). The reflection degree is a distribution rate of time during which write information is propagated, and indicates the degree of retransmission of write information in a predetermined time zone.

  The influence degree calculation unit 160 calculates the reflection degree calculated in the reflection degree calculation unit 150 and includes the transmission degree information including the transmission time information included in the write information acquired by the information acquisition unit 110, and the writing that can be understood from the retransmission information. For the user who retransmits the information, the degree of influence I of each piece of writing information is calculated based on the spreading factor calculated by the spreading factor calculator 130 and the number of links acquired by the user information acquisition unit 120. Thereby, the influence degree can be calculated in consideration of the fact that the writing information has been propagated to other users.

  Here, the degree of influence I is the degree of influence that the written information has on the social media 10. In the present embodiment, by calculating the influence of the write information from the reflectivity calculated from the time-series list, the diffusion rate of the write information, and the number of links of the user, how much the write information has been spread, and It is possible to calculate the degree of influence taking into account how long the write information is propagated.

  When the propagation path analysis unit 141 analyzes the propagation path, the influence degree calculation unit 160 obtains information obtained by the reflection degree calculation unit 150 based on the propagation path analyzed by the propagation path analysis unit 141. Each write information from the reflectivity of a predetermined time zone including the transmission time information included in the write information acquired by the unit 110, the spread rate calculated by the spread rate calculation unit 130, and the number of links acquired by the user information acquisition unit 120 The influence degree I of is calculated. Thereby, the influence degree can be calculated in consideration of the fact that the write information is propagated step by step from the user to the user. Moreover, the depth of connection between users can be seen by calculating the degree of influence at each stage.

  Specifically, first, the influence degree calculation unit 160 calculates the influence degree In at n stages of one path among the propagation paths using the following equation (3). As shown in the equation (3), the degree of influence In (when n is 2 or more) is the spread rate of the write information to the number of links F of the user weighted with the reflectivity RT of the time zone in which the write information is transmitted. Calculated by multiplying by X.

  Next, the influence degree calculation unit 160 calculates the influence degree of the write information by totaling the influence degree of the write information with respect to each path of the propagation path, calculated using (3) described above.

<Influence calculation processing>
FIG. 4 is a flowchart of influence degree calculation processing according to the embodiment of the present invention.

  First, in step S <b> 1, the information acquisition unit 110 acquires from the social media 10 write information including retransmission relationship information and transmission time information for specifying a retransmission relationship between users.

  Next, in step S <b> 2, the user information acquisition unit 120 acquires the number of links F for each user in the social media from the social media 10.

  Next, in step S3, the spreading factor calculator 130 calculates the spreading factor X based on the retransmission relationship information included in the write information acquired in step S1.

  Next, in step S4, the time-series list creating unit 140 lists the number of retransmissions for each predetermined time period based on the retransmission relationship information and the transmission time information included in the write information acquired in step S1. Create a time series list.

  Next, in step S5, the reflection rate calculation unit 150 calculates the reflection rate RT for each predetermined time period based on the time series list created in step S4.

  Next, in step S6, the influence degree calculation unit 160 includes the reflection degree RT of the time zone including the transmission time included in the write information acquired in step S1 among the reflection degrees calculated in step S5, For the user who re-transmitted the write information known from the re-transmission related information acquired in S1, it affects each write information based on the number of links F acquired in step S2 and the spreading factor X calculated in step S3. Calculate the degree.

  Next, in step S7, the influence degree calculation unit 160 determines whether or not the influence degrees I of all the write information acquired in step S1 have been calculated. If the influence degree I of all write information has been calculated (YES), the process is terminated, and if the influence degree I of all write information has not been calculated (NO), the process returns to step S6.

  As described above, according to the present embodiment, it is possible to calculate the degree of influence of write information by analyzing how much write information is diffused and how long the write information is propagated. it can. Further, from the time series list, it is possible to grasp the elapsed time zone from when the writing information sent to social media has the most influence and the spreading time of the writing information.

<Example of impact analysis>
An example when the influence of the writing information is calculated by the influence calculation device 100 described above will be described with reference to FIG. In this example, the time series list shown in FIG. 3 is used. FIG. 5A shows a propagation path analyzed by the propagation path analysis unit 141 for the write information (information ID = info001) transmitted by the user H. In the upper part of each user, a time zone that has elapsed from when the original writing information is transmitted to when each user re-posts the writing information (information ID = info001) is shown. FIG. 5B shows information about each user included in the propagation path shown in FIG.

  As shown in FIG. 5A, the write information (information ID = info001) transmitted by “user H” is “user I”, “user J”, and “user K” in the first stage of the propagation path. In the second stage, “user L”, “user M”, “user N”, and “user O” are retransmitted and propagated.

  A case where the influence degree of the write information (information ID = info001) transmitted by “user H” in FIG. 5 is calculated using the influence degree calculating apparatus 100 according to the present embodiment will be described.

  First, the value shown in FIG. 5B is substituted into the above-described equation (1) to calculate the spreading factor X of each user. The calculation formula and calculation result of the diffusion factor X are shown in the following formula (4).

Next, the reflectivity RT of the time zone in which each user shown in FIG. 5A retransmits the write information is calculated by substituting the value shown in the time series list shown in FIG. 3 into the above-described equation (2). To do. Note that. The reflectivity of the n-th m time zone is expressed as RTn-m.

  As for the degree of influence, the spreading factor X of each user calculated by the above-described equation (4), the reflection rate RT calculated by the above-described equation (5), and the value of the number of links shown in FIG. 3) Substituting into the equation, the influence I of the write information (information ID = info001) is calculated.

  In this way, the influence degree I of the write information (information ID = info001) transmitted by “user H” can be calculated.

  Note that the influence calculation apparatus 100 of the present invention is realized by recording the processing of the influence calculation apparatus 100 on a computer-readable recording medium, causing the device to read and execute the program recorded on the recording medium. Can do. The computer system here includes an OS and hardware such as peripheral devices.

  Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW (World Wide Web) system is used. The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.

  The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  The embodiments of the present invention have been described in detail with reference to the drawings. However, the specific configuration is not limited to the embodiments, and includes designs and the like that do not depart from the gist of the present invention.

(Modification 1)
In the embodiment described above, the influence calculation device 100 may include an extraction unit that extracts an influencer, and may extract an influencer using the influence I calculated by the influence calculation unit 160. Specifically, the extraction unit calculates the influence of each user by aggregating the degree of influence I of each piece of writing information calculated by the influence degree calculation unit 160 for each user. And an extraction part extracts the user with the calculated high influence as an influencer. Note that the extraction unit may extract a user who has the highest influence as an influencer, or may extract a user whose influence is a predetermined value or more as an influencer. In this way, influencers calculated for each piece of write information are aggregated to calculate the influence of the user, so that influencers can be extracted with high accuracy.

(Modification 2)
In the embodiment described above, the write information directly acquired from the social media and the number of links of each user are used, but the write information storage unit for storing the write information acquired from the social media and the link of each user A user information storage unit that stores user information including numbers may be provided in the influence calculation device 100, and information stored in the write information storage unit and the user information storage unit may be used. Further, when information is acquired from the write information storage unit and the user information storage unit, a search may be performed according to a predetermined condition, for example, a keyword or a period, and the searched information may be acquired.

  Each embodiment and modification may be used in appropriate combination, but detailed description is omitted.

DESCRIPTION OF SYMBOLS 10 Social media 100 Influence calculation apparatus 110 Information acquisition part 120 User information acquisition part 130 Spreading factor calculation part 140 Time series list creation part 141 Propagation path analysis part 142 List creation part 150 Reflection degree calculation part 160 Influence degree calculation part

Claims (10)

An influence calculation device that calculates the influence of written information transmitted to social media,
Information acquisition means for acquiring write information including retransmission information and transmission time information for specifying a retransmission relationship between users from social media;
User information acquisition means for acquiring the number of links with other users in each user in the social media from the social media;
Based on retransmission information included in the write information acquired by the information acquisition unit, a spreading factor calculating unit that calculates a spreading factor that is a probability that the write information transmitted by each user is retransmitted;
Based on retransmission information and transmission time information included in the write information acquired by the information acquisition means, a time series list creating means for creating a time series list that lists the number of retransmissions for each predetermined time zone;
Based on the time series list created by the time series list creation means, a reflection degree calculation means for calculating a reflection degree indicating a retransmission status in a predetermined time zone,
For the predetermined time zone including the transmission time information included in the write information acquired by the information acquisition means, the reflection rate calculated by the reflection rate calculation means, the user who has transmitted the write information, the spreading factor calculation means The influence of calculating the degree of influence of each write information based on the calculated spreading factor and the number of links acquired by the user information acquisition means for the user who transmitted the write information and the user who retransmitted the write information Degree calculation means;
A degree of influence calculation device comprising:   An extraction unit that calculates the influence of each user based on the degree of influence of each writing information calculated by the influence degree calculation unit and extracts a user having a high calculated influence as an influencer is provided. The influence degree calculating device according to claim 1.   The reflectivity calculating means, based on the time series list created by the time series list creating means, by dividing the number of retransmissions for each predetermined time period by the sum of the number of retransmissions for each predetermined time period, The influence degree calculation apparatus according to claim 1, wherein the reflection degree is calculated.   The spreading factor calculating means, for each user, calculates the number of re-sending of the write information calculated based on the re-sending relation information included in the write information acquired by the information acquiring means. 4. The influence degree calculating device according to claim 1, wherein the spreading factor is calculated by dividing by the total number of outgoing calls. The time series list creating means includes:
Based on retransmission information included in the write information acquired by the information acquisition means, analyze a propagation path through which the write information propagates, and a propagation path analysis means for creating propagation path information,
Based on the transmission time information included in the write information acquired by the information acquisition means and the propagation path analyzed by the propagation path analysis means, when the number of retransmissions at each propagation stage is listed for each predetermined time zone A list creation means for creating a series list,
The reflection degree calculation means calculates a reflection degree indicating a retransmission status of each propagation stage in a predetermined time zone based on the time series list created by the time series list creation means,
The influence degree calculation means includes transmission time information included in the write information acquired by the information acquisition means, calculated by the reflection degree calculation means, based on the propagation path analyzed by the propagation path analysis means. 5. The degree of influence is calculated from a reflection rate in a predetermined time zone, a spreading factor calculated by the spreading factor calculating unit, and a number of links acquired by the user information acquiring unit. The degree-of-influence calculation device described in 1. The influence calculation means is configured such that the influence degree in n stages of one path among the propagation paths is In, the spreading factor of users in n stages of the one path is Xn, and the number of links of users in n stages of the one path is Fn. Of the n stages of reflection of the one path, when the reflection of the predetermined time zone including the transmission time when the user of the n stage has transmitted the write information is RTn, the degree of influence of the one path in the n stages 6. The influence degree calculating apparatus according to claim 5, wherein In is obtained using an expression of Formula 1.

  The degree of influence calculation according to any one of claims 1 to 6, wherein the spreading factor calculating means calculates the spreading factor based on retransmission related information included in the write information set for a predetermined period. apparatus.   The degree of influence calculation according to any one of claims 1 to 7, wherein the information acquisition unit acquires write information that meets a predetermined condition among write information retransmitted in the social media. apparatus. An impact calculation method for calculating the impact of written information sent to social media,
A first step of acquiring write information including a re-transmission relationship between users and transmission time information from social media;
A second step of acquiring from the social media the number of links with other users in each user in the social media;
Based on the retransmission information included in the writing information acquired in the first step, a third spreading factor is calculated which is a probability that the writing information transmitted by each user in the social media is retransmitted. And the steps
A fourth step of creating a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired in the first step;
A fifth step of calculating a reflectivity indicating a retransmission status in a predetermined time zone based on the time-series list created in the fourth step;
For the predetermined time period including the transmission time information included in the write information acquired in the first step, the reflectivity calculated in the fifth step, the user who transmitted the write information, and the write information are retransmitted. For the user who has done this, the degree of influence of each piece of write information is calculated based on the number of links acquired in the second step and the spreading factor calculated in the third step for the user who sent the write information. A sixth step;
A method for calculating the degree of influence, comprising: A program for causing a computer to execute an influence calculation method for calculating the influence of written information transmitted to social media,
A first step of acquiring write information including a re-transmission relationship between users and transmission time information from social media;
A second step of acquiring from the social media the number of links with other users in each user in the social media;
Based on the retransmission information included in the writing information acquired in the first step, a third spreading factor is calculated which is a probability that the writing information transmitted by each user in the social media is retransmitted. And the steps
A fourth step of creating a time series list in which the number of retransmissions for each predetermined time period is listed based on the retransmission relationship information and the transmission time information included in the write information acquired in the first step;
A fifth step of calculating a reflectivity indicating a retransmission status in a predetermined time zone based on the time-series list created in the fourth step;
For the predetermined time period including the transmission time information included in the write information acquired in the first step, the reflectivity calculated in the fifth step, the user who transmitted the write information, and the write information are retransmitted. For the user who has done this, the degree of influence of each piece of write information is calculated based on the number of links acquired in the second step and the spreading factor calculated in the third step for the user who sent the write information. A sixth step;
A program that causes a computer to execute.

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