JP5005741B2 - Propagation situation evaluation device, propagation situation assessment method, and program - Google Patents

Description

  The present invention relates to a propagation state evaluation apparatus, a propagation state evaluation method, and a program.

  In recent years, a technique for grasping the propagation status of information by word-of-mouth has been proposed. For example, in Patent Document 1, whether a word-of-mouth is spreading or decaying by analyzing a document posted on a bulletin board or chat or the like. A technique for determining the above has been proposed.

JP 2004-139376 A

  However, with the technique described in Patent Document 1, it is not possible to grasp in which community the word of mouth was made.

  This invention is made in view of such a background, and it aims at providing the propagation condition evaluation apparatus, the propagation condition evaluation method, and program which can evaluate the propagation condition of the word-of-mouth in a community.

A main invention of the present invention for solving the above-described problem is a propagation status evaluation apparatus that evaluates a situation in which information is propagated between users, and associates information with the user specifying information that specifies the user. A user database that stores user information including an address for notifying the user and community specifying information that specifies a community to which the user belongs, and the user information stored in the user database for each community. , a base point user selection unit for selecting at least one of the user information including the community specifying information for specifying the community as a base point user information, for notifying the presence of the advertisement to be accessed in said user to said user, said the notification information including the URL indicating the provided information, the base point user information A notification information transmitting unit that transmits the control information to Murrell said address, a request the a request for viewing providing information including the URL for acquiring the user identification information and the offer information, received from the user terminal of the user The request receiving unit, the request specifying database for storing the user specifying information for specifying the user who transmitted the request, and the request history information including the URL included in the request, and the base user information For each base user who is a user and the URL, the user specifying information specifying the other user belonging to the community to which the base user belongs is acquired from the user database, and the acquired user specifying information and the URL corresponding to the request history information It was calculated from the request history database, the notification information is to be provided with a propagation state evaluation unit for determining an evaluation value of the situation that propagate according to the number of the request history information.

According to the propagation status evaluation apparatus of the present invention, provision information can be notified to a certain base user, access to the provision information from other users can be counted, and propagation intensity can be calculated according to the number. The fact that there was access from other users to the provided information that only the base user can know can be assumed that the presence of the provided information has been propagated from the base user by some word of mouth, so the number counted above is It can be estimated that this is the number of propagations in which information is transmitted from the root user by word of mouth. As a result, the number of propagations can be easily measured, and the situation in which information is propagated in the community can be evaluated according to the number of transmissions.
In this case, when the propagation state evaluation apparatus has the function of the Web server, the arrival of information to other users can be easily measured by accessing the provided information from other users.

The propagation status evaluation apparatus of the present invention provides a search service for searching for various types of information including the provided information, the notification information includes a keyword related to the provided information, and the request includes: It may be a browsing request for the provision information transmitted from the user terminal in accordance with a search result for the keyword by the search service.
In this case, when the propagation status evaluation apparatus provides a search service, it is possible to easily measure the arrival of information to other users by notifying the base user of the keywords related to the provided information.

The propagation status evaluation apparatus of the present invention includes a notification history database that stores notification history information including the user identification information included in the base user information and a transmission date and time when the notification information is transmitted, and the base user selection unit For each community, the user information corresponding to the community specifying information is read from the user database, the number of the notification history information corresponding to the user specifying information included in the read user information is counted, A predetermined number may be selected as the base user information from the user information having the smallest counted number.
In this case, since the user who has been selected as the base user in the past can be selected as the base user, notification of information can be tried based on various people.

In the propagation state evaluation apparatus of the present invention, the propagation state evaluation unit may determine the evaluation value according to the number of non-overlapping user specifying information included in the corresponding request history information .
In this case, since the number of transmissions can be measured not in units of access from users but in units of users, it is possible to grasp the information transmission status more accurately.

The propagation status evaluation apparatus of the present invention further includes a notification history database that stores notification history information including the user identification information included in the base user information and a transmission date and time when the notification information is transmitted, and the request history information includes Includes the reception date and time of the request, and the propagation status evaluation unit obtains the community specifying information corresponding to the user specifying information from the user database for each request history information, and For the information, the community specifying information corresponding to the user specifying information is acquired from the user database, and is included in the corresponding request history information from the transmission date and time included in the corresponding notification history information for each community. Calculate the time until the reception date and time, Calculates the speed by dividing the value, it may be determined the evaluation value in accordance with the number of the calculated velocity and the request history information.
In this case, in addition to the number of transmissions, the speed at which information is transmitted in the community can be measured.

The propagation status evaluation apparatus of the present invention is a propagation status evaluation device that evaluates a situation in which information is propagated between users, and notifies the user of the information in association with the user specifying information that specifies the user. Among the user database stored in the user database for each community, and a user database that stores user information including an address for identification and community identification information that identifies a community to which the user belongs, and the community among the user information stored in the user database A base point user selection unit that selects at least one of the user information including the community specifying information as base point user information, and notification information for notifying the user of the presence of provision information to be accessed by the user, Notification information transmitted to the address included in the base user information A signal unit, the notification history database for storing notification history information including the user identification information included in the community specifying information, and the base point user information selected for the community specified by the community specifying information, the user A request reception unit that receives a request for acquiring specific information and the provision information from the user terminal of the user, and a request that stores request history information including the user specific information that specifies the user who transmitted the request Obtaining the history database and the community specifying information corresponding to the user specifying information included in each request history information from the user database, calculating the number of the corresponding request history information for each community, the request Wear A propagation state evaluation unit in which the notification information according to the number of information to determine the evaluation value of the situation of propagation for each of the notification history information, the community corresponding to the user identification information included in said each request history information The specific information is read from the user database, the number of the request history information corresponding to the community specifying information included in the notification history information is counted, and the user included in the notification history information according to the counted number An influence degree evaluation unit that calculates an influence degree of the base user identified by the specific information; and an influence degree storage unit that stores the influence degree in association with the user identification information, and the base point user selection unit includes: , For each community, for each of the user information corresponding to the community, the user The influence level corresponding to the user specifying information included in the information is acquired from the influence level storage unit, and the base point is set so that a difference in the influence level for the base point user information is within a predetermined value for each community. User information may be selected .
In this case, it is possible to easily measure how much influence the user has in the community.
In this case, since it is possible to notify information with a user having a close influence as a base point, it is possible to accurately measure the sensitivity to information of the entire community.

According to another aspect of the present invention, there is provided a method for evaluating a situation in which information is propagated between users, an address for notifying the user of information in association with user specifying information for specifying the user, A computer having a user database for storing user information including community specifying information for specifying a community to which the user belongs, for each of the communities, out of the user information stored in the user database, Notification information including a URL indicating the provision information for selecting at least one user information including the community identification information to be identified as base user information and notifying the user of the existence of provision information to be accessed by the user Is transmitted to the address included in the base user information. , The user identification which receives the user identification information and requests the a request for viewing providing information including the URL for acquiring the offer information from the user terminal of the user, identifying the user who sent the request Information and the request history information including the URL included in the request are stored in a memory, and each of the base user and the URL indicated by the base user information belongs to the community to which the base user belongs The user specifying information for specifying the other user is acquired from the user database, the number of the request history information corresponding to the acquired user specifying information and the URL is calculated from the memory, and the request history information Evaluation value of the situation where the notification information is propagated according to the number Decision to be.

Another aspect of the present invention is a program for evaluating a situation in which information is propagated between users, in order to notify the user of information in association with user specifying information for specifying the user. Among the user information stored in the user database, for each community, the computer includes a user database that stores user information including an address and community specifying information that specifies a community to which the user belongs. URL indicating the provision information for notifying the user of the existence of provision information to be accessed by the user, and selecting at least one user information including the community identification information for identifying the community as base user information the notification information including, contained in the base point user information Transmitting addressed to serial address, receiving a request the a request for viewing providing information including the URL for acquiring the user identification information and the providing information from the user terminal of the user, the request Storing the user identification information for identifying the user who has transmitted the request history information and the request history information including the URL included in the request , and the base user and the URL which are the users indicated by the base user information Each time, the user identification information that identifies the other users belonging to the community to which the base user belongs is acquired from the user database, and the acquired request identification information corresponding to the acquired user identification information and the URL calculating the number from the memory, the lik The notification information according to the number of strike history information is to be executed and determining the evaluation value of the situation to propagate.

  Other problems and solutions to be disclosed by the present application will be made clear by the embodiments of the invention and the drawings.

  ADVANTAGE OF THE INVENTION According to this invention, the propagation condition of the word of mouth in a community can be evaluated.

It is a figure explaining the propagation situation of the information which the propagation situation analysis system concerning this embodiment assumes. It is a figure which shows the whole structure of the propagation condition analysis system of this embodiment. It is a figure which shows the hardware constitutions of the propagation condition evaluation apparatus. It is a figure which shows the software structure of the propagation condition evaluation apparatus. It is a figure which shows the structural example of the user information memorize | stored in the user database. It is a figure which shows the structural example of the access history information which the access history database 252 memorize | stores. It is a figure which shows the structural example of the notification history information which the notification history database 253 memorize | stores. It is a figure which shows the structural example of the propagation intensity information memorize | stored in the propagation intensity database. It is a figure which shows the structural example of the influence degree information registered into the influence degree database 256. FIG. It is a figure which shows the flow of the process which transmits notification information. It is a figure which shows an example of the input screen 51 of notification information. It is a figure which shows the flow of a total process of propagation intensity. It is a figure which shows the flow of an acquisition process of access history information. It is a figure which shows the flow of an example of the process which the output part 216 outputs based on propagation intensity information. It is a figure which shows the flow of the total process for an output. 6 is a diagram illustrating an example of a screen 52 output by an output unit 216. FIG. It is a figure which shows the flow of the process which calculates a user's influence degree. It is a figure which shows an example of the screen 53 which outputs a user's influence degree. It is a figure which shows the structural example of the transmission strength information memorize | stored in a transmission strength database. It is a figure which shows the structural example of the search history information memorize | stored in a search history database.

== Overview ==
Hereinafter, a propagation situation analysis system according to an embodiment of the present invention will be described.

  The propagation status analysis system of this embodiment is for evaluating the status of information propagation in a community. The community is, for example, a residential area, a school, a company, or the like. The community can also be set by the user in SNS (Social Networking Service). In the present embodiment, it is assumed that the user belongs to at least one community, and there are a plurality of communities.

  In this embodiment, information (hereinafter referred to as “notification information”) for notifying the user of the presence of information accessed by the user (hereinafter referred to as “provided information”) is notified to the users in the community. The number of accesses from the user that the notification information has reached (hereinafter referred to as “propagation number”) and the speed until the notification information reaches the user (hereinafter referred to as “propagation speed”) are measured, and the number of propagations is measured. Then, an evaluation value (hereinafter referred to as “propagation intensity”) indicating how much the notification information has propagated between users is obtained in accordance with at least one of the propagation speed.

  FIG. 1 is a diagram for explaining a propagation situation of information assumed by the propagation situation analysis system according to the present embodiment. In the example of FIG. 1, four communities 1 are shown as an example. The notification information 2 is given to one user (hereinafter referred to as “base user”) 3 selected from users belonging to the community 1. In the community 1, it is assumed that the notification information 2 is transmitted verbally from the base user 3 to other users 4. Of course, the notification information 2 may be transmitted from the base user 3 to another user 4 via an e-mail, a messenger service, a bulletin board service, or the like. Further, the notification information 2 may be transmitted between the users 4 other than the base user 3. In this way, it is determined how many users 4 the notification information 2 notified to one base user has reached in the community 1 and how fast the notification information 2 has reached the user 4. taking measurement.

  Whether the notification information 2 has reached the user 4 is determined by access from the user 4 to a propagation status evaluation apparatus 20 described later. In the present embodiment, it is assumed that the propagation status evaluation device 20 provides the function of the Web server, the base user 3 is notified of the notification information 2 including the URL (Uniform Resource Locator) to the predetermined content, and the reference user 3 When a user 4 other than the user 4 accesses the URL provided by the propagation status evaluation device 20, it is determined that the notification information 2 has reached the user 4. Even though the content that only the base user 3 can know is transmitted only to the base user, the content is accessed by the user 4 other than the base user 3 due to some word of mouth from the base user 3 It can be inferred that the propagation of. Therefore, the propagation intensity of information in the community can be measured based on how many times the URL included in the notification information 2 is accessed by the user 4 in the same community. The URL path included in the notification information 2 is preferably a character string that cannot be easily estimated from the provided information.

  Further, in the propagation status analysis system of the present embodiment, each user belonging to the community 1 is set as the base user 3 in order, and the propagation strength of each base user 3 is measured, whereby the propagation strength of the community 1 is measured. It is possible to extract high users, that is, users who have a strong influence in the community 1 (hereinafter referred to as “influencers”).

== System configuration ==
FIG. 2 is a diagram showing the overall structure of the propagation state analysis system of the present embodiment. The propagation state analysis system of this embodiment includes a user terminal 10 and a propagation state evaluation device 20. The user terminal 10 and the propagation state evaluation apparatus 20 are connected to each other via a communication network 30 so that they can communicate with each other.

  The communication network 30 is, for example, the Internet, a LAN (Local Area Network), a VAN (Value Added Network), or the like, and is constructed by a public telephone line network, a dedicated telephone line network, Ethernet (registered trademark), a wireless communication network, or the like. . In this embodiment, it is assumed that TCP / IP communication is performed on the communication network 30.

  The user terminal 10 is a computer operated by the user, such as a personal computer, a workstation, a mobile phone terminal, or a PDA (Personal Digital Assistant). In the user terminal 10, a Web browser and a MUA (Mail User Agent; mail client) are operating, and the user can operate the user terminal 10 to send and receive e-mails and browse Web pages.

  The propagation state evaluation device 20 is a computer such as a personal computer or a workstation that evaluates the propagation state of information in the community. In the present embodiment, it is assumed that the propagation status evaluation device 20 functions as a Web server that provides a Web page. The propagation state evaluation device 20 receives a request for browsing a Web page (hereinafter referred to as “browsing request”) from the user terminal 10, provides the Web page in response to the browsing request, and records its history. Further, the propagation state evaluation device 20 selects a base user and transmits notification information including a URL indicating provided information to the base user. The URL is information indicating various contents such as a Web page, a still image file, a moving image file, and a CGI program. The propagation state evaluation device 20 measures the number of propagations and the propagation speed by searching the access history for access to the URL included in the notification information.

  Details will be described below.

== Configuration of Propagation Status Evaluation Device 20 ==
FIG. 3 is a diagram illustrating a hardware configuration of the propagation state evaluation apparatus 20. The propagation status evaluation device 20 includes a CPU 201, a memory 202, a storage device 203, and a communication interface 204. The storage device 203 stores various information and programs, for example, a hard disk drive or a flash memory. The CPU 201 implements various functions by reading the program stored in the storage device 203 into the memory 202 and executing it. The communication interface 204 is an interface for connecting to the communication network 30, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a telephone line network, and a connection to a wireless line network. Such as a wireless communication device.

  FIG. 4 is a diagram illustrating a software configuration of the propagation state evaluation apparatus 20. The propagation status evaluation device 20 includes a web page providing unit 211, a base user selecting unit 212, a notification information transmitting unit 213, a history acquiring unit 214, a totaling unit 215, an output unit 216, an influence degree registering unit 217, a user database 251, and an access history. A database 252, a notification history database 253, a propagation intensity database 254, a transmission database 255, and an influence database 256 are provided.

  The Web page providing unit 211, the base user selection unit 212, the notification information transmission unit 213, the history acquisition unit 214, the aggregation unit 215, the output unit 216, and the influence level registration unit 217 are stored in the CPU 201 included in the propagation status evaluation device 20. This is realized by reading the program stored in the device 203 into the memory 202 and executing it. Further, the user database 251, the access history database 252, the notification history database 253, the propagation strength database 254, the transmission database 255, and the influence database 256 are storage areas provided by the memory 202 and the storage device 203 provided in the propagation status evaluation device 20. Realized.

  The user database 251 stores information about users (hereinafter referred to as “user information”). FIG. 5 is a diagram illustrating a configuration example of user information stored in the user database 251. The user information includes a user ID for identifying the user, a mail address for sending an e-mail to the user, and a community to which the user belongs. The affiliation community (corresponding to the “community identification information” of the present invention) is the user's affiliation, for example, the area where the user resides, the school or company to which the user belongs, and the SNS or website where the user participates. This is a list of community names. It is assumed that user information is registered in the user database 251 in advance.

  The web page providing unit 211 provides a function of a so-called web server that provides a web page in response to a request for browsing a web page (hereinafter referred to as “browsing request”) transmitted from the user terminal 10. . The browsing request includes at least a URL, and a user ID may be set. As for the user ID, for example, a session may be established between the propagation state evaluation device 20 and the user terminal 10 and the user ID may be set in the session information, or the user ID may be set in the cookie. Good. The web page providing unit 211 registers information related to access history (hereinafter referred to as “access history information”) in the access history database 252.

  FIG. 6 is a diagram illustrating a configuration example of access history information stored in the access history database 252. The access history information includes the date and time, the user ID, and the accessed URL. The user ID is set only when the user ID is included in the browsing request. Note that other items included in an access log in a general Web server may be included in the access history information.

  The base point user selection unit 212 selects a base point user for each community. In the present embodiment, it is assumed that the base user selection unit 212 selects, as a base user, a user who has been selected as a base user in the past. The fact that the user has been selected as the base user in the past is determined based on whether or not the user ID is registered in the propagation intensity database 254 described later corresponding to the name of the community. The details of the base user selection process by the base user selection unit 212 will be described later.

  The notification information transmission unit 213 transmits the notification information to the base user selected by the base user selection unit 212. In the present embodiment, the notification information transmission unit 213 receives input of notification information, and the received notification information is referred to as a user ID (hereinafter referred to as “base user ID”) indicating a base user selected by the base user selection unit 212. ) Is read from the user database 251, and an e-mail including notification information is transmitted to a mail address included in the read user information as a destination. Note that the notification information transmission unit 213 may notify notifying information to the base user via, for example, a messenger service or a chat service, without being limited to an electronic mail. In addition, the notification information transmission unit 213 can transmit the notification information only to users who have a high degree of influence in response to an instruction from the input person of the notification information.

  The notification history database 253 stores information including notification information transmitted to the base user (hereinafter referred to as “notification history information”). FIG. 7 is a diagram illustrating a configuration example of notification history information stored in the notification history database 253. The notification history information includes a community name, a URL, a base user ID, a title and body of the notification information, and a transmission date and time of the notification information to the base user.

  The history acquisition unit 214 acquires, from the access history database 252, access history information that is subject to aggregation processing by the aggregation unit 215 described later. The history acquisition unit 214 receives designation of the community name, URL, and base user ID, identifies user information in which the designated community name is included in the affiliation community, and among the user IDs of the identified user information, Access history information corresponding to the URL different from the base user ID and the designated URL is acquired from the access history database 252.

  The aggregation unit 215 calculates the propagation intensity based on the access history information. The tabulation unit 215 receives the designation of the notification information from each operator of the notification history information or from the operator of the propagation status evaluation device 20, and the notification history information corresponding to the designated notification information includes the name of the community included in the notification history information. The history acquisition unit 214 is made to acquire access history information by specifying the URL and the base user ID. The aggregation unit 215 sets the number of access history information acquired by the history acquisition unit 214 as the propagation number. The totaling unit 215 sets a propagation speed by dividing a predetermined number by the average value of the time from the transmission date / time of the notification history information to the access date / time of the access history information (hereinafter referred to as “arrival time”). The totaling unit 215 determines the propagation intensity according to the number of propagations and the propagation speed so that the larger the number of propagations, the greater the propagation speed. For example, the totaling unit 215 can calculate the propagation intensity by multiplying each of the number of propagations and the propagation speed by a weight and adding them together. The totaling unit 215 creates information on propagation intensity (hereinafter referred to as “propagation intensity information”) and registers it in the propagation intensity database 254. FIG. 8 is a diagram illustrating a configuration example of propagation intensity information stored in the propagation intensity database 254. Propagation intensity information includes the URL included in the notification information, the name of the community to which the notification information is notified, the base user ID of the base user that is the transmission destination of the notification information, the number of users belonging to the community, Includes propagation number, velocity and intensity.

  The output unit 216 outputs information related to the propagation state of the notification information. In the present embodiment, the output unit 216 outputs the propagation status for each community and the propagation status for each base user to the screen 52, and outputs a user having a high influence level in each community. Information output by the output unit 216 will be described later.

  The influence degree database 256 stores information on the influence degree in the user community (hereinafter referred to as “influence degree information”). FIG. 9 is a diagram illustrating a configuration example of influence degree information registered in the influence degree database 256. The impact information includes a user ID, a community name, and an impact level in the user community. The degree of influence is determined according to at least one of the number of propagations and the propagation speed. In the present embodiment, the degree of influence is calculated by multiplying each of the number of propagations and the propagation speed by adding a weight, but the degree of influence may be calculated by multiplying the number of propagations and the propagation speed. The degree of influence may be obtained by giving the propagation number and propagation speed to a predetermined function.

  The influence degree registration unit 217 calculates the influence degree in the user's community based on the propagation intensity information. The influence degree registration unit 217 registers the influence degree information including the calculated influence degree in the influence degree database 256. Details of the process performed by the influence level registration unit 217 will be described later.

  Hereinafter, processing executed by the propagation state evaluation apparatus 20 will be described.

== Notification information transmission processing ==
FIG. 10 is a diagram illustrating a flow of processing for transmitting notification information.
The notification information transmission unit 213 receives an input of URL and notification information (S401). FIG. 11 is a diagram illustrating an example of the notification information input screen 51. The input screen 51 includes a URL input field 511, a message title input field 512, and a message text input field 513. The operator of the propagation status evaluation apparatus 20 enters each input field and presses the transmission button 514. When the transmission button 514 is pressed, the notification information transmission unit 213 acquires the URL, title, and text from the input fields 511, 512, and 513.

  The notification information transmission unit 213 extracts a community name without duplication from the community to which the user information registered in the user database 251 belongs (S402). The following processing is performed for each of the extracted community names.

  The base user selection unit 212 uses the user information registered in the user database 251 as the base user, with the name of the community being included in the community to which the user belongs and the user information having the smallest number selected as the base user. One user information (hereinafter referred to as “base user information”) is selected (S403). The number selected as the base user is obtained from the propagation intensity database 254 by counting the number of propagation intensity information in which the user ID of the base user information is set as the base user.

  The notification information transmission unit 213 creates an e-mail including the title and body received from the input screen 51, and uses the created e-mail as the destination by the e-mail address included in the user information selected by the base user selection unit 212. Send (S404), generate the notification history information including the community name, URL, the user ID of the base user information, the title and body of the notification information, and the current date and time, and register the generated notification history information in the notification history database 253 (S405).

  By performing the above processing for each community name extracted without duplication, notification information can be transmitted to the base user of each community.

== Propagation intensity calculation process ==
FIG. 12 is a diagram illustrating the flow of the propagation intensity counting process. The aggregation unit 215 reads the notification history information registered in the notification history database 253 (S441), and performs the following processing for each of the read notification history information.

  The totaling unit 215 designates the community name, URL, and base user ID included in the notification history information, and causes the history acquisition unit 214 to acquire the access history information (S442). FIG. 13 is a diagram showing a flow of access history information acquisition processing. The history acquisition unit 214 creates an empty list (S461), and acquires from the user database 251 the user ID of the user information in which the designated community name is included in the community to which it belongs (S462). If the user ID is different from the base user ID for each acquired user ID (S463: NO), the history acquisition unit 214 reads the access history information corresponding to the user ID and the specified URL from the access history database 252 ( S464), the read access history information is added to the list (S465).

  Returning to FIG. 12, the counting unit 215 uses the number of access history information included in the list as the number of propagations (S443), and calculates the time from the current date to the access date for each access history information included in the list. Then, the quotient obtained by dividing the predetermined value by the calculated time is calculated as the velocity (S445), and the average value of the calculated velocity is set as the propagation velocity (S446). The totaling unit 215 calculates the number of user information whose community names are included in the affiliation community and sets the number as the number of users (S447). The totaling unit 215 creates propagation intensity information including the URL, community name, base user, number of users, propagation information, and propagation speed, and registers the created propagation intensity information in the propagation intensity database 254 (S448).

  By performing the above processing for each piece of notification history information, the propagation intensity can be measured.

  FIG. 14 is a diagram illustrating a flow of an example of processing in which the output unit 216 performs output based on propagation intensity information. The output unit 216 reads URLs without duplication from the propagation intensity information registered in the propagation intensity database 254 (S481), and selects one of the read URLs (S482). For example, the output unit 216 may select one of the heads of the read URLs, display a list of URLs, and accept a URL specification from the operator of the propagation status evaluation apparatus 20.

  The output unit 216 reads the propagation intensity information corresponding to the selected URL from the propagation intensity database 254 and creates a propagation intensity list (S483). The output unit 216 designates the item “community” of the propagation intensity information, and causes the totaling unit 215 to execute the output totaling process illustrated in FIG. 15 (S484).

  The totaling unit 215 extracts the value of the item designated from the output unit 216 from the propagation strength list without duplication (S491), and extracts the propagation strength information corresponding to the extracted value from the propagation strength list for each of the extracted values. (S492), the quotient obtained by dividing the total number of propagations of the extracted propagation strength information by the total number of users of the extracted propagation strength information is calculated as a propagation rate (S493), and the average propagation speed of the extracted propagation strength information A value (average propagation velocity) is calculated (S494), and an average value of the propagation intensity of the extracted propagation intensity information is calculated (S495).

The output unit 216 outputs the aggregated propagation rate and propagation speed as propagation intensity for each community (S485).
Next, the output unit 216 designates “base user” and causes the totaling unit 215 to execute the output totaling process shown in FIG. 15 (S486), and the propagation rate, propagation speed, and propagation aggregated for each base user. The intensity is output (S487).

  As described above, a list of propagation strengths for each community and each base user is displayed based on the propagation strength information.

  FIG. 16 is a diagram illustrating an example of the screen 52 output by the output unit 216. On the screen 52, a link 521 and a link 522 are displayed. When the link 521 is selected, the output unit 216 re-selects the URL read in step S481 immediately before the URL selected in step S482. Select and perform the processing from step S483. When link 522 is clicked, output unit 216 selects again the URL immediately after the URL selected in step S482 from the URL read in step S481, and performs the processing from step S483.

  The screen 52 includes a URL display field 523, and the output unit 216 displays the URL selected in step S482 in the display field 523. Further, the screen 52 includes a display field 524 for the propagation rate, propagation speed, and propagation strength for each community, and a display field 525 for the propagation rate, propagation speed, and propagation strength for each base user, and the output unit 216 displays each calculated community. The propagation rate, propagation speed, and propagation intensity are output to the display field 524, and the calculated propagation rate, propagation speed, and propagation intensity for each base user are output to the display field 525.

== User impact calculation processing ==
FIG. 17 is a diagram illustrating a flow of processing for calculating the degree of influence of a user. FIG. 18 is a diagram illustrating an example of a screen 53 for outputting an influencer.

The influence level registration unit 217 acquires the communities of the propagation intensity information registered in the propagation intensity database 254 without duplication (S501), and performs the following processing for each of the acquired communities.
The influence degree registration unit 217 acquires propagation intensity information corresponding to the community from the propagation intensity database 254 (S502), and calculates the average number of propagation numbers and propagation speed for each base point user ID based on the acquired propagation intensity information. (S503). The influence degree registration unit 217 calculates the influence degree by multiplying each of the average value of the number of propagations and the average value of the propagation speeds by multiplying the weights (S504). The impact level registration unit 217 registers the impact level information including the community, the base user ID, and the impact level in the impact level database 256 (S505).

  By performing the above processing for each community, the degree of influence in that community can be registered for the user selected as the base user in the past.

FIG. 18 is a diagram illustrating an example of a screen 53 for outputting the influence degree of the user.
The screen 53 includes a pull-down list 531, and the output unit 216 reads the community names of the impact information registered in the impact database 256 without duplication, and registers the read list of names in the pull-down list 531. . When a community is selected from the pull-down list 531 on the screen 53, the output unit 216 reads the impact information corresponding to the community selected in the pull-down list 531 from the impact database 256, and reads the read impact information on the impact level. A predetermined number is output to the display field 532 in descending order. The users displayed in the display field 532 of the screen 53 are users who have a high influence level in the community selected from the pull-down list 531, that is, influencers.

  The screen 53 includes a check box 533 for each user displayed in the display field 532. Notification information can be transmitted to a user whose check box 533 is checked as a destination. When the user ID is set as a value in the check box 533 and the notification button 534 is pressed, the above-described screen 51 of FIG. 11 is displayed. Here, when the send button 514 on the screen 51 is pressed, the notification information sending unit 213 uses the user ID (hereinafter referred to as “influencer ID”) set in the check box 533 checked on the screen 53. Corresponding user information is acquired from the user database 251, and an e-mail including the title and text input on the screen 51 is transmitted with the mail address of the acquired user information as a destination.

  As described above, according to the propagation state evaluation apparatus 20 of the present embodiment, it is possible to easily grasp the propagation state of notification information by a search request from another user only by transmitting the notification information to the base user. it can. Further, according to the propagation status evaluation device 20 of the present embodiment, the propagation status of the notification information can be displayed for each community and for each base user, so that the operator of the propagation status evaluation device 20 can easily determine the propagation status of the notification information. Can grasp. In addition, in the propagation status evaluation apparatus 20 of the present embodiment, a user with a small number of times selected as a base user can be preferentially selected as a base user, so notification information is given to many users, and the propagation status is determined. Can be widely evaluated. Further, according to the propagation status evaluation apparatus 20 of the present embodiment, notification information can be notified from the screen 53 to a user with a high degree of influence, so that it can be efficiently propagated into the community. Is possible.

  In the present embodiment, the number of base users is one, but a plurality of users may be used. In this case, propagation intensity information can be registered for each base user.

  In the present embodiment, the base point user selection unit 212 selects a user with a small number of times of selection as a base point user in the past as the base point user. However, the base point user may be selected at random.

  In addition, a user having a close influence may be selected as a base user for each community. For example, for each user information stored in the user database 251, the base user selection unit 212 calculates the influence corresponding to the user ID and the community name for each community name included in the community included in the user information. The user information corresponding to each community can be selected by reading from the influence degree database 256 so that the difference in influence degree is within a predetermined threshold. The base user selection unit 212 calculates an average value of the user's influence degree from the influence degree database 256, and selects user information corresponding to the influence degree whose difference from the average value is within a predetermined value as the base user information. You may make it do. In this case, since the influence degree of the base user for each community is close, when the same notification information is notified, the number of notification information and the transmission speed of the community can be compared. Thereby, the sensitivity of the community with respect to notification information can be grasped according to the number of transmissions and transmission speed.

  Further, in this embodiment, the propagation intensity is determined so that the larger the propagation number is, the larger the propagation speed is, and the larger the propagation speed is, but the propagation number, propagation speed, propagation rate, etc. may be used as the propagation intensity as it is, It is good also as a value which multiplied these. Further, the result obtained by giving the propagation number and propagation speed to a predetermined function can be used as the propagation intensity.

  In this embodiment, a list of propagation rates, average propagation speeds, and average propagation strengths is output. However, the present invention is not limited to this, and a list of the number of propagations, propagation speeds, and propagation strengths is output without aggregation. It may be.

  In the present embodiment, the propagation number, propagation speed, and propagation intensity are obtained by determining the average value when there are a plurality of propagation intensity information. However, the present invention is not limited to this. It may be a value. Alternatively, the average value or the like may be calculated from only the values included in a predetermined range by obtaining the variance.

  Further, the arrival time may be employed instead of the propagation speed. In this case, the propagation intensity and the influence degree are calculated so as to increase as the arrival time is shorter.

  In the present embodiment, the notification information is notified by electronic mail, but can be notified by various methods such as messenger and chat. In this case, in the mail address field of the user information, a destination for notifying the user of the notification information such as an ID or IP address in the messenger service is set, and the notification information transmitting unit 213 sends the notification information to the destination. Send.

  In this embodiment, the number of access history information is the number of propagations, but the number of non-overlapping user IDs included in the access history information may be the number of propagations. In this case, even when the provided information is accessed a plurality of times from the same user, it is possible to more accurately grasp the propagation state of the notification information by word of mouth.

  In this embodiment, the user ID is included in the access history, but an IP address or the like may be used instead of the user ID.

  In this embodiment, the names of all communities to which the user belongs are registered in the community to which the user information belongs. For example, the address, the name of the school or company to which the user belongs, etc. It is also possible to dynamically determine the community to which these belong. For example, it is possible to set the address prefecture, city, town, and place of name as a community, school or company as a community, and major or industry as a community.

  In the present embodiment, the URL of the provided information is included in the notification information and provided to the base user. However, the present invention is not limited to this. For example, a keyword related to the provided information is set in the notification information, and the user searches The keyword may be searched for in a service or the like, and the URL of the provided information included in the search result may be accessed. In this case, since it is possible to use a keyword that is easier to communicate by word of mouth than URL, the degree of word of mouth can be grasped more accurately.

  Further, in this embodiment, the access history information in which a predetermined URL is set is searched for all the access history information registered in the access history database 252. The number of propagations and propagation speed may be calculated by searching every time, and the transition of propagation intensity may be measured. Accordingly, it is possible to determine whether the notification information is spreading or converging in the community based on the transition.

  In this embodiment, the output unit 216 outputs the propagation rate and the average propagation speed on the screen 52. However, the present invention is not limited to this, and the number of propagations may be displayed. An evaluation value determined according to the speed may be displayed.

  In this embodiment, the propagation rate and the average propagation speed for each community and each base point user for a certain URL are output. However, the present invention is not limited to this. Or you may make it output the propagation rate and propagation speed for every keyword. In this case, the output unit 216 extracts the base user and the community without duplication in step S481 in FIG. 14, and selects one of them in step S482. Further, in step S484, the output unit 216 may specify a keyword and perform output totaling processing.

  In this embodiment, the totalization processing is performed for all notification history information registered in the notification history database 253. However, the present invention is not limited to this, and designation of notification history information is accepted and steps S442 to S442 in FIG. The processing up to S448 may be performed, or designation of a URL may be accepted, and the above processing may be performed on notification history information corresponding to the designated URL.

  In addition, the number and transmission speed of notification information transmitted from the base user to other users may be measured to measure the ease of transmission of notification information between users (hereinafter referred to as “transmission strength”). Good. In this case, the propagation state evaluation apparatus 20 includes a transmission strength measurement unit that measures transmission strength, and a transmission strength database that stores information on transmission strength (hereinafter referred to as “transmission strength information”). A configuration example of transmission intensity information stored in the transmission intensity database is shown in FIG. As illustrated in FIG. 19, the transmission intensity information includes the user ID of the base user, the user IDs of other users, the number of propagations, and the propagation speed. The transmission strength measuring unit extracts the base user IDs of the notification history information stored in the notification history database 253 without duplication, and for each of the extracted base user IDs, the notification history information corresponding to the base user ID is sent to the notification history database. The access history information corresponding to the URL included in any of the read notification history information is acquired from the access history database 252 and the number of access history information is counted for each user ID from the acquired access history information. The number of transmissions is calculated for each user ID, the transmission time from the transmission date / time of the notification history information to the access date / time of the access history information corresponding to the URL is calculated, and the base user ID, the user ID, and the number of transmissions are calculated. The transmission intensity information including the transmission time is registered in the transmission intensity database. In this way, the number of transmissions and the transmission time between users can be registered as transmission intensity. As a result, the arrival time from the transmission date / time of the notification information to a certain base user to the access date / time by the user (hereinafter referred to as the “final user”) to which the certain notification information has arrived is calculated as the predetermined threshold value. If it is longer, the notification information is not transmitted directly from the base user to the final user, but is transmitted from the base user to the mediating user as being transmitted via another user (hereinafter referred to as “mediating user”). Estimating the transfer route of notification information from the base user to the final user via the mediation user by determining the mediation user so that the time and the transmission time from the mediation user to the final user are close to the arrival time Can do. Similarly, when the total of the transmission time from the base user to the intermediary user and the transmission time from the intermediary user to the final user is longer than a predetermined threshold value than the arrival time, the intermediary user for a plurality of intermediary user routes The route of multiple intermediary users so that the sum of the intermediary transmission time, the transmission time from the base user to the first intermediary user, and the transmission time from the last intermediary user to the final user is close to the arrival time Can also be guessed.

  In addition, the number (hereinafter referred to as “generation”) indicating how many users have transmitted information from the base user to the final user may be obtained from the access date and time. it can. In this case, the propagation number, propagation speed, and propagation intensity for each generation can be obtained. Thereby, the extent of the information spread can be grasped.

  In this embodiment, the propagation intensity (number of propagations and propagation speed) in the community is measured without considering to which base user the notification information is transmitted. The notification information may be transmitted to the base user whose difference from the value is within a predetermined value. In this case, since the influence degree of the base user is the same, the number of propagation and the propagation speed can be grasped as the sensitivity of the response and the speed to the notification information for each community.

  In the present embodiment, the notification information includes a URL, and when a user other than the reference user accesses the URL included in the notification information, it is detected that the notification information has reached the user. However, for example, when the propagation status evaluation device 20 provides a service (search engine) that searches for provided information corresponding to a keyword included in the search request in response to a search request from the user terminal 10, A keyword related to the provided information may be included in the notification information and transmitted to the base user, and it may be detected that the notification information has reached the user by searching for the keyword included in the notification information from another user. In this case, the propagation status evaluation device 20 receives a search request transmitted from the user terminal 10 instead of the Web page providing unit 211, and searches for provided information corresponding to the keyword included in the search request. A processing unit and a search history database that stores a search history (hereinafter referred to as “search history information”) are provided. A configuration example of search history information stored in the search history database is shown in FIG. The search history information includes a search date, a user ID, and a keyword. The search date and time can be the date and time when the search request is received, the date and time when the search process is completed, or the date and time when the search result is transmitted to the user terminal 10. The user ID is set when the user ID is included in the search request. The keyword is a keyword included in the search request. A keyword is set in the notification information, and the keyword set in the notification information is included in the notification history information instead of the URL. In the screen 51 of FIG. 11, the input field 511 accepts keyword input instead of URL, and in the processing of FIG. 10, notification history information including the keyword is registered in the notification history database 253 in step S405. . In the process of FIG. 12, the community, keyword, and user ID are specified in step S442, and the process of FIG. 13 is performed. In the process of FIG. 13, the search history corresponding to the keyword and user ID is acquired in step S464. To. In this way, it is possible to detect that the keyword has been propagated by word of mouth by notifying the keyword to the base user and searching for the keyword from users other than the base user. In this case, it is preferable to select a keyword that is generally difficult to specify. For example, a search history corresponding to the input keyword may be searched from the search history database, and only keywords with a corresponding search history number equal to or less than a predetermined number may be selected as keywords to be included in the notification information.

  Although the present embodiment has been described above, the above embodiment is intended to facilitate understanding of the present invention and is not intended to limit the present invention. The present invention can be changed and improved without departing from the gist thereof, and the present invention includes equivalents thereof.

DESCRIPTION OF SYMBOLS 10 User terminal 20 Propagation condition evaluation apparatus 30 Communication network 51 Screen 52 Screen 53 Screen 201 CPU
202 Memory 203 Storage Device 204 Communication Interface 211 Web Page Providing Unit 212 Base User Selection Unit 213 Notification Information Transmitting Unit 214 History Acquisition Unit 215 Totaling Unit 216 Output Unit 217 Impact Level Registration Unit 251 User Database 252 Access History Database 253 Notification History Database 254 Propagation intensity database 255 Transmission database 256 Impact database

Claims (11)

A propagation status evaluation device that evaluates the status of information propagation between users,
A user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs;
For each community, a base point user selection unit that selects, as base user information, at least one user information including the community specifying information that specifies the community among the user information stored in the user database;
A notification information transmission unit for transmitting notification information including a URL indicating the provision information for notifying the user of the existence of provision information to be accessed by the user, to the address included in the base user information;
A request receiving unit that receives a request for browsing the provision information including the URL for obtaining the user identification information and the provision information from the user terminal of the user;
A request history database that stores request history information including the user identification information that identifies the user who transmitted the request and the URL that was included in the request;
For each base user and the URL indicated by the base user information, the user specifying information for specifying other users belonging to the community to which the base user belongs is acquired from the user database and acquired . The propagation status evaluation for calculating the number of the request history information corresponding to the user identification information and the URL from the request history database, and determining an evaluation value of the situation in which the notification information is propagated according to the number of the request history information And
A propagation state evaluation apparatus comprising: A propagation status evaluation device that evaluates the status of information propagation between users,
A user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs;
For each community, a base point user selection unit that selects, as base user information, at least one user information including the community specifying information that specifies the community among the user information stored in the user database;
A notification information transmitter for transmitting notification information for notifying the user of the presence of provision information to be accessed by the user, to the address included in the base user information;
A notification history database storing notification history information including the user identification information included in the community identification information and the base point user information selected for the community identified by the community identification information;
A request receiver for receiving a request for acquiring the user identification information and the provision information from the user terminal of the user;
A request history database for storing request history information including the user specifying information for specifying the user who transmitted the request;
The community specifying information corresponding to the user specifying information included in each request history information is acquired from the user database, the number of the corresponding request history information is calculated for each community, and the number of the request history information A propagation situation evaluation unit that determines an evaluation value of the situation in which the notification information is propagated according to
For each of the notification history information, the community identification information corresponding to the user identification information included in each request history information is read from the user database, and the request corresponding to the community identification information included in the notification history information An influence degree evaluation unit that counts the number of history information, and calculates the degree of influence of the base user identified by the user identification information included in the notification history information according to the counted number;
An impact storage unit that stores the impact in association with the user identification information;
Equipped with a,
The base point user selection unit acquires, for each community, the influence degree corresponding to the user specifying information included in the user information for each of the user information corresponding to the community from the influence degree storage unit, Selecting the base user information so that the difference in the degree of influence on the base user information is within a predetermined value for each community;
Propagation situation evaluation device. It is the propagation condition evaluation apparatus of Claim 1 or 2 ,
The propagation status evaluation device provides a search service for searching various information including the provided information,
The notification information includes a keyword related to the provided information,
The request is a request for browsing the provided information transmitted from the user terminal in accordance with a search result for the keyword by the search service;
Propagation situation evaluation device. The propagation state evaluation apparatus according to claim 1,
A notification history database for storing notification history information including the user identification information included in the base user information and the transmission date and time when the notification information is transmitted;
The base point user selection unit reads, for each community, the user information corresponding to the community specifying information from the user database, and the number of the notification history information corresponding to the user specifying information included in the read user information And selecting a predetermined number as the base user information from the user information with the smallest counted number,
Propagation situation evaluation device. It is the propagation condition evaluation apparatus of Claim 1 or 2 ,
The propagation status evaluation unit determines the evaluation value according to the number of non-overlapping user identification information included in the corresponding request history information ;
Propagation situation evaluation device. The propagation state evaluation apparatus according to claim 1,
A notification history database for storing notification history information including the user identification information included in the base user information and the transmission date and time when the notification information is transmitted;
The request history information includes the reception date and time of the request,
The propagation status evaluation unit
For each request history information, obtain the community identification information corresponding to the user identification information from the user database,
For each of the notification history information, the community specifying information corresponding to the user specifying information is acquired from the user database,
For each community, the time from the transmission date and time included in the corresponding notification history information to the reception date and time included in the corresponding request history information is calculated, and a speed obtained by dividing a predetermined value by the calculated time is calculated. Calculating and determining the evaluation value according to the calculated speed and the number of the request history information,
Propagation situation evaluation device. It is a propagation condition evaluation apparatus of any one of Claim 1 thru | or 6, Comprising:
  According to the evaluation value, further comprising an extraction unit for extracting an influencer that is the user having a strong influence in the community;
  Propagation situation evaluation device. A method for evaluating the situation in which information is propagated between users,
A computer comprising a user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs. But,
For each community, out of the user information stored in the user database, select at least one user information including the community specifying information for specifying the community as base user information,
Sending notification information including a URL indicating the provision information for notifying the user of the existence of provision information to be accessed by the user to the address included in the base user information;
Receiving from the user terminal of the user a request that is a request for browsing the provision information including the URL for acquiring the user identification information and the provision information;
Storing the request identification information including the user identification information for identifying the user who transmitted the request and the URL included in the request in a memory;
For each base user and the URL indicated by the base user information, the user specifying information for specifying other users belonging to the community to which the base user belongs is acquired from the user database and acquired . Calculating the number of the request history information corresponding to the user identification information and the URL from the memory, and determining an evaluation value of a situation in which the notification information is propagated according to the number of the request history information;
Propagation situation evaluation method characterized by   A method for evaluating the situation in which information is propagated between users,
  A computer comprising a user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs. But,
  Selecting, as base user information, at least one user information including the community specifying information for specifying the community among the user information stored in the user database for each community;
  Transmitting notification information for notifying the user of the presence of provision information to be accessed by the user, to the address included in the base user information;
  Storing notification history information including the user specifying information included in the base point user information selected for the community specifying information and the community specified by the community specifying information;
  Receiving a request for obtaining the user identification information and the provision information from a user terminal of the user;
  Storing request history information including the user identification information identifying the user who transmitted the request;
  The community specifying information corresponding to the user specifying information included in each request history information is acquired from the user database, the number of the corresponding request history information is calculated for each community, and the number of the request history information Determining an evaluation value of a situation in which the notification information is propagated according to:
  For each of the notification history information, the community identification information corresponding to the user identification information included in each request history information is read from the user database, and the request corresponding to the community identification information included in the notification history information Counting the number of history information, and calculating the degree of influence of the base user identified by the user identification information included in the notification history information according to the counted number;
  Storing the degree of influence in association with the user identification information;
  Run
  In the selecting step, the computer acquires, for each community, the influence degree corresponding to the user specifying information included in the user information for each of the user information corresponding to the community, and for each community. Selecting the base user information so that the difference in the influence on the base user information is within a predetermined value,
  Propagation situation evaluation method characterized by A program for evaluating the situation in which information is propagated between users,
A computer comprising a user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs. In addition,
Selecting, as base user information, at least one user information including the community specifying information for specifying the community among the user information stored in the user database for each community;
Transmitting notification information including a URL indicating the provision information for notifying the user of the existence of provision information to be accessed by the user, to the address included in the base user information;
Receiving from the user terminal of the user a request that is a request for browsing the provision information including the URL for obtaining the user identification information and the provision information;
Storing in the memory request history information including the user specifying information for specifying the user who has transmitted the request and the URL included in the request;
For each base user and the URL indicated by the base user information, the user specifying information for specifying other users belonging to the community to which the base user belongs is acquired from the user database and acquired . Calculating the number of the request history information corresponding to the user identification information and the URL from the memory, and determining an evaluation value of a situation in which the notification information is propagated according to the number of the request history information;
A program for running   A program for evaluating the situation in which information is propagated between users,
  A computer comprising a user database that stores user information including an address for notifying the user of information in association with user specifying information for specifying the user and community specifying information for specifying a community to which the user belongs. In addition,
  Selecting, as base user information, at least one user information including the community specifying information for specifying the community among the user information stored in the user database for each community;
  Transmitting notification information for notifying the user of the presence of provision information to be accessed by the user, to the address included in the base user information;
  Storing notification history information including the user specifying information included in the base point user information selected for the community specifying information and the community specified by the community specifying information;
  Receiving a request for obtaining the user identification information and the provision information from a user terminal of the user;
  Storing request history information including the user identification information identifying the user who transmitted the request;
  The community specifying information corresponding to the user specifying information included in each request history information is acquired from the user database, the number of the corresponding request history information is calculated for each community, and the number of the request history information Determining an evaluation value of a situation in which the notification information is propagated according to:
  For each of the notification history information, the community identification information corresponding to the user identification information included in each request history information is read from the user database, and the request corresponding to the community identification information included in the notification history information Counting the number of history information, and calculating the degree of influence of the base user identified by the user identification information included in the notification history information according to the counted number;
  Storing the degree of influence in association with the user identification information;
  And execute
  In the selecting step, the degree of influence corresponding to the user specifying information included in the user information is acquired for each of the user information corresponding to the community. A program for causing the base user information to be selected such that the difference in the influence level of the base user information is within a predetermined value.

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