KR102005971B1 - Influence determination system and method thereof for social network user - Google Patents

Abstract

Disclosure of Invention The present invention discloses a system and method for influencing information of a social network user who can provide information to each user who uses a social network service with highly reliable information about how much influence the user has on the social network. The influence information determination system of a social network user of the present invention is characterized in that a social network device serves contents registered by each user, an influence information determination device analyzes content served by the social network device, Calculating at least one of a user evaluation index and a user relationship index for each user, calculating a content evaluation index for each content, calculating at least one of the user evaluation index, the user relationship index, and the content evaluation index calculated by the influence information determination device And determining influence information on the social network for each of the users based on one.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and method for determining influence information of a social network user,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and method for determining influence information of a social network user, and more particularly, to a system and method for determining influence information of a social network user who can quantify a degree of influence on a social network, And a method of operating an influence information determining apparatus and an influence information determining apparatus according to the system and method.

Nowadays, as the importance of communication between people and people is emphasized, a variety of social network service-type services are provided, which provide users with real-time communication services and information sharing services .

As a result of the spread of these social network services (for example, blogs), many users frequently refer to the content (for example, blog posts) registered in social networks in purchasing products. More and more companies are using social networks.

In this background, marketing techniques for analyzing the contents of a large number of posts registered in social network services and utilizing them in marketing have been continuously introduced.

However, since marketing technology using current social network services does not consider users who use social network services to have a certain influence on social networks, the influence and influence In this paper, we propose a new methodology that can be applied to a social network.

Accordingly, in the present invention, a method for quantifying a degree of influence on a social network for each user using the social network service with high reliability is proposed.

It is an object of the present invention to provide a social network device which is capable of providing content to be registered by each user and an influence information determining device which is capable of providing contents And calculating at least one of a user evaluation index and a user relationship index for each user according to the analysis result, calculating a content evaluation index for each content, calculating the user evaluation index, the user relationship index calculated by the influence information determination device, And determining the influence information on the social network for each user based on at least one of the index, the index, the index, and the content evaluation index, thereby providing a social network user influence information determination system and method for each user using the social network service, On the network The reliability degree has the impact it used to determine the quantitative impact information high.

The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide a service providing system for analyzing contents served by a social network device, And a user relationship index, calculates a content evaluation index for each content, and based on at least one of the user evaluation index calculated for each user, the user relationship index, and the content evaluation index calculated for each content , An influencing information determining device for determining influence information on the social network and an operation method of the influence information determining device for each user to determine how much influence on the social network is provided to each user using the social network service Reliable and quantified impact Information is used to determine.

To achieve the above object, according to a first aspect of the present invention, there is provided an influence information determination system for a social network user, comprising: a social network device for providing contents registered by each user; And calculating at least one of a user rating index and a user relationship index for each user, calculating a content rating index for each content, calculating the user rating index, the user relationship index And an influence information determination device for determining influence information on the social network for each user based on at least one of the content evaluation index and the content evaluation index.

According to a second aspect of the present invention, there is provided an apparatus for determining influence information, comprising: a content analyzer for analyzing contents served by a social network apparatus; An evaluation index calculation unit for calculating at least one of a user evaluation index and a user relationship index for each user related to content registration and calculating a content evaluation index for each content according to the analysis result; And an influence information determination unit for determining influence information on the social network for each user based on at least one of the user evaluation index calculated for each user, the user relationship index, and the content evaluation index calculated for each content .

Preferably, the evaluation index calculator calculates the number of contents registered by the specific user for a specific period of time, the time from when the specific user joins the social network to the current time, The user evaluation index for the specific user can be calculated based on at least one of the activity period, the total number of contents registered during the activity period by the specific user, and the number of neighboring users having an acquaintance relationship with the specific user have.

Preferably, the evaluation index calculation unit may calculate, based on the user relationship index of another user who has registered the reaction content in the content registered by the specific user, with respect to the specific user, The user relationship index can be calculated.

Preferably, the evaluation index calculating unit may calculate the number of the reaction contents registered for the specific time, the total number of the reaction contents registered up to the present time from the time when the specific contents are registered, The content evaluation index for the specific content can be calculated based on at least one of the number of the reaction contents registered by the other users who do not have an acquaintance relationship with the specific user who registered the specific content among the total number of the reaction contents.

Preferably, the influence information determination unit may include: a first user influence index calculation unit for calculating an influence index for each user based on the user evaluation index and the user relationship index calculated for each user; A content influence index for calculating the influence index for each content based on the influence index of the user who registered the content among the calculated content evaluation indexes and the influence indexes for the respective users and the influence index of other users who registered the reaction content for the content, And an exponent calculation unit.

Preferably, the influence information determining unit may calculate the influence information on the basis of the user evaluation index, the user relationship index, and the content influence index calculated for each user, And a second user influence index calculating unit for recalculating the influence index for each user on the basis of the influence index of the content registered by the user among the influence indexes calculated for each content currently calculated by the user.

Preferably, the influence information determination unit may determine the influence index of each user calculated in the second user impact index calculation unit every time the influence index for each user is re-calculated in the second user impact index calculation unit The content influence index calculating unit can be controlled to recalculate the influence index for each content.

Preferably, the influence information determination unit may further include a content influence index calculating unit and a second user influence index calculating unit for repeatedly calculating the influence index for each user by a predetermined number of calculation times in the second user influence index calculating unit, And influence information for each user can be determined on the basis of each influence index calculated by the second user impact index calculating unit last.

According to a third aspect of the present invention, there is provided a method for determining influence information of a user of a social network, comprising the steps of: providing a content to be registered by a user to a social network device; Analyzing contents provided by the influence information determination device in the social network device; Calculating a content rating index for each content by calculating at least one of a user rating index and a user relationship index for each user based on the analysis result; And determining influence information on the social network for each user based on at least one of the user evaluation index, the user relationship index and the content evaluation index calculated by the influence information determination device.

According to a fourth aspect of the present invention, there is provided an operation method of an influence information determining apparatus, comprising: a content analyzing step of analyzing contents served by a social network device; An evaluation index calculation step of calculating at least one of a user evaluation index and a user relationship index for each user related to content registration and calculating a content evaluation index for each content according to the analysis result; And an influence information determination step of determining influence information on the social network for each user based on at least one of the user evaluation index calculated for each user, the user relation index, and the content evaluation index calculated for each content .

Preferably, the evaluation index calculating step may include calculating, for each of the users, the number of contents registered by the specific user for a specific period of time, the time from when the specific user joins the social network to the present time Calculating a user evaluation index for the specific user based on at least one of an activity period of the specific user, a total number of contents registered during the activity period by the specific user, and a number of neighboring users having an acquaintance relationship with the specific user .

Preferably, in the evaluation index calculation step, the evaluation index calculation step calculates the evaluation index based on the user relationship index of another user who has registered the reaction content in the content registered by the specific user with respect to the specific user, The user relationship index can be calculated.

Preferably, the evaluation index calculating step calculates the evaluation index based on the number of the reaction contents registered for the specific time, the total number of the reaction contents registered from the time when the specific contents are registered to the present time, The content evaluation index for the specific content can be calculated based on at least one of the number of the reaction contents registered by the other users who do not have an acquaintance relationship with the specific user who registered the specific content among the total number of the reaction contents .

Preferably, the influence information determination step may include a first user influence index calculation step of calculating an influence index for each user based on the user evaluation index and the user relationship index calculated for each user, Based on the content evaluation index calculated for each user, the influence index of the user who registered the corresponding content among the influence indexes for each user, and the influence index of other users who registered the reaction content for the content, An influence index calculation step of calculating a user influence index and a user influence index calculated in the content influence index calculating step and the user influence index calculated for each user each time the influence index for each content is calculated in the content influence index calculating step, Among the influence indexes for each content, On the basis of the impact factor of a content registered by, it may comprise a second user impact factor calculation step of re-calculating the influence factor of each user.

Preferably, the impact information determination step may include: calculating, at each of the user impact indexes calculated at the second user impact index calculation step, The content influence index calculation step may be performed again to calculate the influence index for each content.

Preferably, the influential information determination step may include a step of repeatedly calculating the impact indices for each user by a predetermined number of calculation times in the second user impact index calculation step, The influence information for each user can be determined based on the influence index for each user.

Thus, according to the system and method for determining influence information of a user of a social network of the present invention, it is possible to prevent a user having a high influence index from being influenced by a user The impact information for each user can be determined as a result of cyclically repeating / calculating the process of raising the influence index of the content in which the reaction contents are registered and increasing the influence index of the user who registers the content whose influence index is high.

Therefore, according to the system and method for determining influence information of a social network user of the present invention, it is possible to reliably quantify the degree of influence on a social network for each user using the social network service.

1 is a block diagram illustrating a system for determining influence information of a social network user according to a preferred embodiment of the present invention.
2 is a block diagram showing a configuration of an influence information determination apparatus according to a preferred embodiment of the present invention.
FIG. 3 is a flowchart illustrating a flow of an influence information determination method of a social network user according to a preferred embodiment of the present invention.
4 is a flowchart showing a flow of an operation method of an influence information determining apparatus according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a diagram illustrating an influence information determination system of a social network user according to a preferred embodiment of the present invention.

As shown in FIG. 1, the influence information determination system of the social network user according to the present invention includes the social network apparatus 100 and the influence information determination apparatus 200.

The social network device 100 manages the content registered by each user 10 and provides a service for providing the content according to the request.

The social network device 100 includes a social network service (SNS) type social network service providing a real-time communication service and an information sharing service among the acquaintances (or neighboring users) It is desirable to be a device that provides services.

The influence information determination apparatus 200 analyzes content served by the social network apparatus 100 and transmits influence information that quantifies how much influence the user 10 has on the social network to each user 10 using the social network service It is a device that can decide.

That is, the influence information determining apparatus 200 may determine whether the contents information of the contents served by the social network apparatus 100 is stored periodically or in accordance with an operator operation of the influence information determining apparatus 200 Can be collected.

Accordingly, the influence information determination apparatus 200 can analyze contents served by the social network apparatus 100 based on the collected contents information.

Then, the influence information determination apparatus 200 calculates at least one of the user evaluation index and the user relationship index for each user 10 based on the result of analyzing the above-mentioned contents, The content evaluation index is calculated for each content.

Based on at least one of the user rating index for each user 10, the user relationship index for each user 10, and the content content rating index calculated as described above, The influence information on the social network can be determined for the mobile terminal 10.

In other words, the influence information determination apparatus 200 determines, for each user 10 using the social network service provided by the social network apparatus 100 as described above, influence information on the social network, that is, Influence information that quantifies whether it has influence or not can be determined.

Hereinafter, the specific configuration for determining the influence information for each user 10 will be described more specifically in the description of the influence information determining apparatus of the present invention, which will be referred to Fig. 2.

Thus, the influence information determining apparatus 200 can support the impact information for each user 10 determined as described above to be used in the information using apparatus 300 for realizing social network-based marketing.

Therefore, the information utilizing apparatus 300 can develop / service a marketing technique considering the degree of influence on each user 10 using the social network service on the social network, thereby improving marketing efficiency It will be possible.

Here, the influence information determination apparatus 200 may be an apparatus configured separately from the social network apparatus 100 as shown in FIG. 1, or may be a configuration included in the social network apparatus 100.

Hereinafter, an influence information determination apparatus according to a preferred embodiment of the present invention will be described in more detail with reference to FIG.

The influence information determining apparatus 200 according to the present invention includes a content analyzing unit 210 for analyzing contents served by the social network device 100, An evaluation index calculation unit 220 for calculating at least one of a user evaluation index and a user relationship index for each content and calculating a content evaluation index for each content and a user evaluation index and a user relationship index calculated for each user 10, And an influence information determination unit (260) that determines influence information on the social network for each user (10) based on at least one of the content evaluation indexes calculated for each content.

The content analyzer 210 analyzes the content served by the social network device 100.

That is, the content analyzer 210 collects content information of contents served by the social network device 100 periodically or in accordance with an operator operation of the influence information determiner 200 when the predetermined content information gathering event occurs, can do. Here, the content may mean a post including at least one of text, moving images and images registered by the user.

Accordingly, the content analyzer 210 can analyze contents served by the social network device 100 based on the collected content information.

More specifically, the content analyzer 210 may generate analysis information that is obtained by analyzing contents based on the collected content information, that is, various analysis information for each user, for each content.

For example, if analysis information generated for each user 10 is described with reference to a specific user, for example, the user 1 of each user 10, the analysis information of the user 1 is specified by the user 1 The total number of contents registered during the total activity period by the user 1 and the total number of contents registered during the total activity period by the user 1, The number of neighboring users having an acquaintance relationship with the user (1), and the like.

If the analysis information generated for each content is described with reference to a specific content, for example, content 1 of each content, the number of the reaction contents (e.g., comment, empathy, etc.) registered for a specific time T with respect to the content 1 (1) registered with the content 1 from the total number of the reaction contents registered from the time when the content 1 is registered to the current time and the total number of the reaction contents registered with respect to the content 1 The number of response contents registered by another user who does not know the content, and the like.

The evaluation index calculation unit 220 calculates at least one of the user evaluation index and the user relationship index for each user 10 related to the content registration according to the analysis result of the content analysis unit 210, 100, the content evaluation index is calculated for each content served.

That is, the evaluation index calculating unit 220 calculates the evaluation index calculating unit 220 based on the analysis information for each user 10 generated according to the analysis result of the content analyzing unit 210 and the analysis information for each content, At least one of the user rating index and the user relationship index may be calculated for each user 10 and the content rating index may be calculated for each content served by the social network device 100. [

To be more specific, the evaluation index calculation unit 220 calculates the evaluation information on the basis of the analysis information generated for the specific user, for example, the user 1, of each user 10, The total number of contents registered during the specific period P by the user 1, the total activity period from the time when the user 1 joined the social network to the present time, The user evaluation index (UserBasic E) for the user 1 can be calculated based on at least one of the total number of contents and the number of neighboring users having an acquaintance relationship with the user 1. [

For example, the evaluation index calculation unit 220 can calculate the user evaluation index on the basis of the following equation (1) for the user 1. [

[Equation 1]

A: Number of contents registered during a specific period (P)

B: total activity duration Total number of registered contents / total activity duration

C: Number of neighbors

Q1 * A + q2 * B + q3 * C, q1 + q2 + q3 = 1

Here, q1, q2, and q3 are weights applied to the respective parameters, and the values may be preset.

The evaluation index calculating section 220 then calculates the evaluation index calculating section 220 with respect to a specific user, for example, the user 1 of each user 10, with the contents registered by the user 1, (UserNet E) for the user 1 through a specific normalization algorithm based on the user relationship index of other users who registered the user relationship index (UserNet E).

Here, the normalization algorithm for calculating the user relation index (UserNet E) can use the results of a general Link Analysis algorithm (e.g., a page rank algorithm, a HITS algorithm, etc.).

For example, when the result of the page rank algorithm is used as the normalization algorithm, the evaluation index calculation unit 220 can calculate a basic user relationship index for each user 10, respectively.

The evaluation index calculation unit 220 calculates the evaluation index of the user 1 by referring to the user 1 who has registered the reaction content (e.g., comment, sympathy, etc.) in the content of the user 1 : The user 2, 3, 4, 5) is confirmed, and the reaction contents (e.g., comment, sympathy, etc.) are registered in the contents of the user 1 with respect to each of the other users Check the number of registrations and the calculated user relationship index.

The evaluation index calculation unit 220 then calculates a page rank algorithm (Pagerank Algorithm) based on the number of reaction content registration times and the user relationship indexes of the other users (e.g., users 2, 3, 4 and 5) (UserNet E) for the user (1).

The evaluation index calculation unit 220 calculates the evaluation information for each of the contents served by the social network device 100 with respect to the content 1, for example, the analysis information generated for the content 1 described above, The content 1 is registered among the total number of registered reaction contents (e.g., comment, empathy, etc.), the total number of response contents registered from the time of registration of the content 1 to the current time, and the total number of response contents registered with respect to the content 1 The content evaluation index ContBasic E for the content 1 can be calculated on the basis of at least one of the number of pieces of reaction content registered by the user who does not have an acquaintance relationship with the user (e.g., the user 1).

For example, the evaluation index calculation unit 220 can calculate a content evaluation index on the basis of the following equation (2) for the content 1. [

&Quot; (2) "

D: total number of registered reaction contents

E: number of response contents registered during a specific time (T)

F: the number of response contents registered by another user who does not have an acquaintance relationship

The content evaluation index (ContBasic E) = q4 * D + q5 * E + q6 * F, q4 + q5 + q6 = 1

Here, q4, q5, and q6 are the weights applied to the respective parameters, and they will be preset values.

As described above, the evaluation index calculation unit 220 calculates the evaluation indexes of the users 10 (10) based on the analysis information for each user 10 generated according to the analysis result of the content analysis unit 210 and the analysis information for each content, (UserBasic E) and a user relationship index (UserNet E) for each of the social network devices 100, and calculate a content rating index (ContBasic E) for each content served by the social network device 100. [

The influence information determination unit 260 determines at least one of the user evaluation index (UserBasic E) and the user relationship index (UserNet E) calculated for each user 10 and the content evaluation index (ContBasic E) The influence information on the social network is determined for each user 10.

More specifically, the influence information determination unit 260 includes a first user influence index calculation unit 230, a content influence index calculation unit 240, and a second user influence index calculation unit 250 .

The first user influence index calculating section 230 calculates the first user influence index calculating section 230 based on the user evaluation index (UserBasic E) and the user relationship index (UserNet E) calculated for each user 10 in the evaluation index calculating section 220 And calculates an influence index (UserInfluence E) for each user 10. That is, the first user influence index calculation unit 230 calculates the initial (n = 0) influence index n (UserInfluence E (n)) for each user 10.

More specifically, the first user influence index calculating section 230 can calculate the initial influence index 0 (UserInfluence E (0)) for each user 10 according to the following equation (3).

&Quot; (3) "

(UserNet E), a1 + a2 = 1 (UserBasic E) + a2 * User Influence Index (UserNet E)

Here, a1 and a2 are weight values applied to the respective parameters, which will be preset values.

The influence index (0) of the user 1 is calculated by multiplying a user evaluation index (UserBasic E) of the user 1 calculated by the evaluation index calculation section 220 by a1 And a value obtained by multiplying a user relation E (UserNet E) of the user 1 calculated by the evaluation index calculation unit 220 by a2.

As described above, the first user influence index calculation unit 230 can calculate the initial influence index 0 (UserInfluence E (0)) for each user 10.

The content influence index calculating unit 240 calculates a content influence index based on the content evaluation index (ContBasic E) calculated for each content, the influential index of the user who registered the content among the above-mentioned influence indexes for each user 1, It is possible to calculate the influence index for each content based on the influence index of other users who registered the content.

The content influence index calculating unit 240 calculates a content influence index (ContBasic E) of the content 1 and a user influence factor (0) (UserInfluence E (N = 1) of the contents 1 (ContInfluence E (0)) based on the influence index (0) (UserInfluence E n) can be calculated.

More specifically, the content influence index calculation unit 240 preferably stores the previously calculated emotion index or the previously calculated emotion index for each content.

Accordingly, the content influence index calculation unit 240 can calculate the first influence index n (ContInfluence E (n)) of the content 1 based on the following equation (4).

&Quot; (4) "

(N) (ContInfluence E (n)) = a3 * Emotion index + a4 * Content rating index (ContBasic E) + a5 * User Influence Index (0) (A), a3 + a4 + a5 + a6 = 1 (a) of the influence indexes (0) (UserInfluence E

Here, a3, a4, a5, and a6 may be predetermined values as weights applied to the respective parameters, and A may be a sum of the influence indexes (0) (UserInfluence E (0)) of the other users who registered the response contents And may be a value determined by the number of other users who have registered the reaction content as a value for determining the reflection value.

As described above, the content influence index calculation unit 240 can calculate the first influence index 1 (ContInfluence E (1)) for each content.

Further, the content influence index calculating section 240 calculates the influence index 1 (ContInfluence E (1)) of each content based on the sum of the influence indexes 1 (ContInfluence E (1) ) Can be normalized.

The second user influence index calculator 250 calculates the user rating index UserBasic E calculated for each user 10 whenever the influence index for each content is calculated in the content influence index calculator 240 as described above, Based on the influence indexes of the content registered by the user among the impact indices calculated for each content by the content influence index calculating section 240 and the user relationship index (UserNet E) The influence index can be recalculated.

That is, by using the initial influence index (0) (UserInfluence E (0)) for each user 10 calculated by the first user impact index calculating section 230, the content influence index calculating section 240 The second user influence index calculating unit 250 calculates the influence index of each content calculated by the content influence index calculating unit 240 based on the influence index of each content (1) (ContInfluence E (1) (1) (ContInfluence E (1)) for each user (10).

The second user influence index calculating section 250 can recalculate the influence index 1 (UserInfluence E (1)) of the user 1 according to the following equation (5) .

&Quot; (5) "

(1) (UserInfluence E (1)) = b1 * UserBasic E + b2 * UserNet E + b3 * Influence index of each content registered by the user (1) (ContInfluence E (1)) / B, b1 + b2 + b3 = 1

Here, b1, b2, and b3 may be predetermined values as weights applied to respective parameters, and B may be a sum of the influence indexes (1) (ContInfluence E (1)) of each content registered by the user And may be a value determined by the number of contents registered by the user 1 as a value for determining the reflection value for the user 1.

As described above, the second user influence index calculating unit 250 further calculates the influence indexes for the respective users 10 by using the influence indexes for each content calculated by the content influence index calculating unit 240 for each user 10, (1) (UserInfluence E (1)).

Further, the second user influence index calculating section 250 calculates the influence index 1 ((1)) of each user based on the sum of the influence indexes 1 (UserInfluence E (1)) calculated for each user 10 UserInfluence E (1)).

Here, the influence information determination unit 260 determines whether or not the second user influence index calculation unit 250 calculates the influence index for each user 10, as described above, The content influence index calculating unit 240 controls the content influence index calculating unit 240 to recalculate the influence indexes for each content using the influence indexes calculated for each user 10.

Accordingly, as described above, the second user influence index calculating unit 250 recalculates the influence index 1 (UserInfluence E (1)) for each user 10, (N) (ContInfluence E (n)) of the corresponding content (n = 2) for each content can be calculated as follows according to the above-described Equation (4).

(1) (UserInfluence E (1)) + a6 * Response content (n) (ContInfluence E (n)) = a3 * Emotion index + a4 * Content rating index (ContBasic E) (1) (UserInfluence E (1)) of each of the other users who have registered the user A, a3 + a4 + a5 + a6 = 1

As described above, the content influence index calculation unit 240 can calculate and normalize the second influence index 2 (ContInfluence E (2)) for each content.

Meanwhile, as described above, the second user influence index calculating unit 250 recalculates the influence index for each user 10 whenever the influence index for each content is calculated in the content influence index calculating unit 240 The second user influence index calculating unit 250 calculates the second influence influence index 2 (ContInfluence E (2)) for each content in the content influence index calculating unit 240 as the content influence index calculating unit 240 (2) (UserInfluence E (2)) for each user 10 is further calculated and normalized by using the influence index 2 (ContInfluence E .

As described above, the content influence index calculating unit 240 and the second user influence index calculating unit 250 may calculate the influence index n (ContInfluence E (n)) for each content by using the calculation results of each other, And the influence index n (ContInfluence E (n)) for each user 10 will be repeatedly calculated.

Then, the influence information determination unit 260 determines whether or not the influence information of each user is repeatedly calculated again by the second user influence index calculation unit 250 by the content influence index calculation unit 240 and the second user And the influence index calculation unit 250. [0050]

That is, the influence information determination unit 260 designates the restriction so that the recalculation can be valid only for the predetermined number of calculation times for the content influence index calculation unit 240 or the second user influence index calculation unit 250, 2 user influence index calculator 250 may repeatedly calculate the influential index n (User Influence E (n)) for each user by a predetermined number of calculations.

The influence information determining unit 260 determines whether or not the impact information n (UserInfluence E (n)) for each user 10 calculated last in the second user influence index calculating unit 250, i.e., The influence information for each user 10 on the basis of the influence index n (User Influence E (n)) for each user 10 as the last calculation result calculated by the exponent calculation unit 250 for a predetermined number of calculations You can decide.

For example, the influence information determination unit 260 may calculate the influence value n (UserInfluence E (n)) of each user 10 calculated last in the second user influence index calculation unit 250, It can be determined as influence information for each user 10.

As described above, the influence information determination system of the social network user according to the present invention and the influence information determination apparatus included therein cyclically influence the contents registered by each user and each user on the social network A process in which a user having a high influence index increases the influence index of content in which the content registered with the reaction content is increased and a process in which the influence index of the user who has registered the content whose influence index is high is increased is repeated and calculated, Can be determined.

Therefore, the influence information determination system of the social network user according to the present invention and the influence information determination apparatus included therein can be applied to the influence information information that quantifies the degree of influence on the social network to each user using the social network service, The effect that can be provided can be derived.

Hereinafter, an influence information determination method of a social network user according to a preferred embodiment of the present invention will be described with reference to FIG. 3 to FIG. Here, for convenience of description, the components shown in FIGS. 1 and 2 will be described with reference to corresponding reference numerals.

First, referring to FIG. 3, a method for determining influence information of a social network user according to a preferred embodiment of the present invention will be described.

The social network device 100 manages the content registered by each user 10 and provides a service for providing the content according to the request (S10).

The influence information determination apparatus 200 collects contents information of contents served by the social network apparatus 100 periodically or in accordance with an operator operation of the influence information determination apparatus 200 when the predetermined information collection event occurs (S20).

Accordingly, the influence information determination apparatus 200 can analyze the contents served by the social network device 100 based on the collected content information (S30).

Then, the influence information determination apparatus 200 calculates at least one of the user evaluation index and the user relationship index for each user 10 based on the result of analyzing the above-mentioned contents, The content evaluation index is calculated for each content (S40).

Based on at least one of the user rating index for each user 10, the user relationship index for each user 10, and the content content rating index calculated as described above, The influence information on the social network can be determined for the user 10 (S50).

In other words, the influence information determination apparatus 200 determines, for each user 10 using the social network service provided by the social network apparatus 100 as described above, influence information on the social network, that is, Influence information that quantifies whether it has influence or not can be determined.

Thus, the influence information determining apparatus 200 can support the influencing information for each user 10 determined as described above to be used in the information using apparatus 300 for realizing social network based marketing (S60).

Therefore, the information utilizing apparatus 300 can develop / service a marketing technique considering the degree of influence on each user 10 using the social network service on the social network, thereby improving marketing efficiency It will be possible.

Hereinafter, an operation method of the influence information determining apparatus according to the preferred embodiment of the present invention will be described in more detail with reference to FIG.

The operation method of the influence information determining apparatus according to the present invention analyzes contents served by the social network apparatus 100 (S100).

That is, the operation method of the influence information determining apparatus according to the present invention is a method in which contents (contents) to be served by the social network device 100 are periodically or periodically set or when a predetermined content information collection event occurs or an operator operation of the influence information determining apparatus 200 It is possible to collect the contents information of the contents. Here, the content may mean a post including at least one of text, moving images and images registered by the user.

Accordingly, the operation method of the influence information determining apparatus according to the present invention can analyze the contents served by the social network apparatus 100 based on the collected contents information.

The operation method of the influence information determination apparatus according to the present invention calculates at least one of the user evaluation index and the user relationship index for each user 10 related to the content registration according to the analysis result of step S100 (S110) The content evaluation index is calculated for each content served by the network device 100 (S120).

That is, the operation method of the influence information determining apparatus according to the present invention is characterized in that the operation information of the influence information determining apparatus according to the present invention is related to the content registration based on the analysis information for each user 10 generated according to the analysis result of step S100, At least one of the user rating index and the user relationship index may be calculated for each user 10 and the content rating index may be calculated for each content served by the social network device 100. [

More specifically, the operation method of the influence information determining apparatus according to the present invention is a method of operating an influence information determining apparatus according to the present invention, in which, with respect to a specific user, for example, the user 1 of each user 10, Information indicating the number of contents registered during the specific period P by the user 1, the total activity period from the time when the user 1 joined the social network to the present time, the total activity period by the user 1, (UserBasic E) for the user 1 based on at least one of the total number of contents registered during the period and the number of neighboring users having an acquaintance relationship with the user 1. [

For example, the operation method of the influence information determining apparatus according to the present invention can calculate the user's evaluation index on the basis of the above-described equation (1) for the user (1).

The operation method of the influence information determining apparatus according to the present invention is a method of operating the influence information determining apparatus according to the present invention in such a manner that the contents registered by the user 1 are associated with a specific user of the user 10, , Empathy, etc.), the user relationship index (UserNet E) for the user 1 can be calculated through a specific normalization algorithm.

Here, the normalization algorithm for calculating the user relation index (UserNet E) can use the results of a general Link Analysis algorithm (e.g., a page rank algorithm, a HITS algorithm, etc.).

For example, when the result of the page rank algorithm is used as the normalization algorithm, the operation method of the influence information determination apparatus according to the present invention can calculate basic user relationship indexes for each user 10, respectively.

The operation method of the influence information determining apparatus according to the present invention is a method of determining whether or not response contents (e.g., comments, empathy, etc.) are registered in the contents of the user 1 (For example, users 2, 3, 4 and 5), and for each of the other users (for example, users 2, 3, 4 and 5) Etc.) and the calculated user relationship index.

Accordingly, the operation method of the influence information determining apparatus according to the present invention is characterized in that, based on the number of reaction content registration times and the user relationship index of each of the above-identified other users (e.g., users 2, 3, 4 and 5) (UserNet E) for the user (1) through the Pagerank Algorithm.

The operation method of the influence information determining apparatus according to the present invention is a method of operating the impact information determining apparatus according to the present invention in which the analysis information generated for the above-described content 1, (E.g., comments, empathy, etc.) registered during the time period T, the total number of the reaction contents registered from the time when the content 1 is registered to the current time, and the total number of the reaction contents registered with respect to the content 1 The content evaluation index (ContBasic E) for the content 1 can be calculated based on at least one of the number of pieces of reaction content registered by the other users who do not have an acquaintance relationship with a specific user (e.g., user 1) have.

For example, the operation method of the influence information determination apparatus according to the present invention can calculate the content evaluation index on the basis of the above-described expression (2) for the content 1.

As described above, the operation method of the influence information determining apparatus according to the present invention is characterized in that, based on the analysis information for each user 10 generated according to the analysis result of step S100 and the analysis information for each content, At least one of a user evaluation index (UserBasic E) and a user relationship index (UserNet E) is calculated for each social network device 100 (S110), and a content evaluation index (ContBasic E) is calculated for each content served by the social network device 100 (S120).

The operation method of the influence information determining apparatus according to the present invention is a method of determining the influence information determining apparatus according to the present invention by calculating user evaluation indexes (UserBasic E) and user relationship indexes (UserNet E) calculated for each user 10 and content evaluation indexes (ContBasic E) The influence information on the social network is determined for each user 10 based on at least one.

More specifically, the operation method of the influence information determination apparatus according to the present invention is based on the user evaluation index (UserBasic E) and the user relationship index (UserNet E) calculated for each user 10 in the above-described step S110 , And calculates an influence index (UserInfluence E) for each user 10 (S130). That is, the operation method of the influence information determining apparatus according to the present invention is to calculate the initial (n = 0) influence index n (UserInfluence E (n)) for each user 10.

More specifically, the operation method of the influence information determining apparatus according to the present invention can calculate the initial influence index (0) (UserInfluence E (0)) for each user 10 according to the above-described equation (3).

In the case of the user 1, the influence index 0 of the user 1 is calculated by multiplying the user rating index UserBasic E of the user 1 calculated in step S110 by a1 and the value obtained by multiplying the user evaluation index UserBasic E 1) is multiplied by a2.

As described above, the operation method of the influence information determining apparatus according to the present invention can calculate the initial influence index (0) (UserInfluence E (0)) for each user 10.

The operation method of the influence information determining apparatus according to the present invention is a method for determining influence information of each user based on the content evaluation index (ContBasic E) calculated for each content and the influential index of the user who registered the content among the above- The influence index can be calculated for each content based on the influence index of other users who have registered the reaction content with respect to each content.

The operation method of the influence information determination apparatus according to the present invention is characterized in that the content evaluation index (ContBasic E) of the content 1 and the influence index (0) of the user who registered the content 1 (N = 1) of the contents 1 (n (1)) based on the influence information (UserInfluence E (0)) of the content 1 and the influence index ContInfluence E (n)).

More specifically, it is preferable that the operation method of the influence information determining apparatus according to the present invention has a previously calculated emotion index or a previously calculated emotion index for each content.

Therefore, the operation method of the influence information determining apparatus according to the present invention can calculate the first influence influence index n (ContInfluence E (n)) of the content 1 based on the above-described equation (4).

As described above, the operation method of the influence information determining apparatus according to the present invention can calculate the first influence index 1 (ContInfluence E (1)) for each content.

Furthermore, the method of operation of the influence information determining apparatus according to the present invention is a method of determining influence information 1 (ContInfluence E (1)) of each content based on the sum of the influence indexes 1 (ContInfluence E (1)) can be normalized.

The operation method of the influence information determining apparatus according to the present invention is characterized in that the user evaluation index (UserBasic E) and the user relationship index (UserNet E) calculated for each user 10 are calculated every time the influence index for each content is calculated, And furthermore, the influential indexes for each user 10 can be recalculated based on the influential indexes of the contents registered by the user among the influential indexes calculated for each content.

That is, as described above, the operation method of the influence information determining apparatus according to the present invention is a method for determining influence information 1 (1) for each content by using the initial influence index 0 (UserInfluence E (0) (1) (ContInfluence E (1)) for each content can be recalculated for each user 10 using the calculated influence index 1 (ContInfluence E (1)) of each content.

The operation method of the influence information determining apparatus according to the present invention can recalculate the influence index 1 (UserInfluence E (1)) of the user 1 according to the above-described equation (5) have.

As described above, the operation method of the influence information determining apparatus according to the present invention is a method for determining influence information (1) (User Influence E (1)) for each user 10, 1)) can be recalculated.

Further, the operation method of the influence information determining apparatus according to the present invention is characterized in that the influence index 1 of each user is calculated based on the sum of the influence index 1 (UserInfluence E (1)) calculated for each user 10, (UserInfluence E (1)).

Here, the operation method of the influence information determining apparatus according to the present invention is such that, whenever the influential indexes for each user 10 are recalculated as described above, the influential indexes for each user 10 are calculated The influence index can be recalculated.

Therefore, the operation method of the influence information determination apparatus according to the present invention is such that, by recalculating the influence index 1 (User Influence E (1)) for each user 10 as described above, The influence index n (ContInfluence E (n)) of the second content (n = 2) of the content for each content can be recalculated and normalized.

As described above, the operation method of the influence information determining apparatus according to the present invention recalculates the influence indices for each user 10 each time the influence indices for the respective contents are calculated, so that the second influence indices (2) (UserInfluence (2)) for each user 10 is further calculated by using the currently calculated influence index 2 (ContInfluence E (2) E (2)) will be recomputed and normalized.

As described above, the operation method of the influence information determining apparatus according to the present invention is such that, until the influence indexes for each user are calculated by the set number of times of calculation (S150, No) (N) (ContInfluence E (n)) and the influence index n (ContInfluence E (n)) for each user 10 (S140).

Meanwhile, in the operation method of the influence information determining apparatus according to the present invention, if the influence index n (UserInfluence E (n)) for each user is repeatedly calculated again by a predetermined number of times of calculation (S150, Yes) (N) (UserInfluence E (n)) for each user 10 as a final calculation result calculated for a predetermined number of times, that is, the influence index n (UserInfluence E (n) , Influence information on each user 10 can be determined (S170).

For example, an operation method of an influence information determining apparatus according to the present invention is a method of operating an influence information determining apparatus according to an embodiment of the present invention, which calculates a normalized value of an influence index n (UserInfluence E (n)) for each user 10, It can be decided by information.

As described above, the influence information determination method of the social network user according to the present invention and the operation method of the impact information determination apparatus included therein can be applied to the effect of cyclically influencing the content registered by each user and each user on the social network As a result of cyclically repeating / calculating the process of raising the influence index of the content in which the user with high influence index registered the content of influence and the influence index of the user in which the influence index is high, reflecting the fact that the influence index is high, It is possible to determine the unique influence information.

Accordingly, the influence information determination method of the social network user according to the present invention and the operation method of the impact information determination apparatus included therein can reliably quantify the degree of influence on the social network for each user using the social network service The effect can be obtained.

The influence information determination method of the social network user according to an embodiment of the present invention and the operation method of the impact information determination apparatus included therein may be implemented in the form of a program command that can be executed through various computer means, . The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

According to the system and method for determining influence information of a user of a social network according to the present invention, it is possible to provide each user who uses a social network service information that quantifies the degree of influence on a social network with high reliability, As the technology goes beyond the limits, it is not only the use of related technology but also the possibility of commercialization or operation of the applied device, and it is possible to carry out clearly in reality, so it is an invention that is industrially applicable.

10: Each user
100: Social network device
200: Influence information determining device
300: Information utilization device

Claims (17)

delete A content analyzer for analyzing contents served by the social network device;
An evaluation index calculation unit for calculating at least one of a user evaluation index and a user relationship index for each user related to content registration and calculating a content evaluation index for each content according to the analysis result; And
An influence information determination unit for determining influence information on the social network for each user based on at least one of the user evaluation index calculated for each user, the user relation index, and the content evaluation index calculated for each content In addition,
The influence information determination unit may determine,
A first user influence index calculation unit for calculating an influence index for each user based on at least one of the user evaluation index and the user relationship index;
A content influence index calculating unit for calculating an influence index for each content based on the content evaluation index and the influence index for each user; And
Wherein each time an influence index for each content is calculated in the content influence index calculation unit, based on at least one of the user evaluation index and the user relationship index and the influence index for each content calculated in the content influence index calculation unit, And a second user influence index calculating unit for recalculating the influence index for each user. ◈ Claim 3 is abandoned due to the registration fee. 3. The method of claim 2,
The evaluation index calculator calculates,
The number of contents registered by the specific user for a specific period of time, the period of activity from the time when the specific user joins the social network to the present time, the activity period by the specific user, And calculates the user evaluation index for the specific user based on at least one of a total number of contents registered during a period and a number of neighboring users having an acquaintance relationship with the specific user. delete delete delete delete delete delete delete A content analysis step of analyzing contents served by the social network device;
An evaluation index calculation step of calculating at least one of a user evaluation index and a user relationship index for each user related to content registration and calculating a content evaluation index for each content according to the analysis result;
An influence information determination step of determining influence information on the social network for each user based on at least one of the user evaluation index calculated for each user, the user relation index, and the content evaluation index calculated for each content ≪ / RTI &
Wherein the influence information determination step comprises:
A first user influence index calculation step of calculating an influence index for each user based on at least one of the user evaluation index and the user relationship index;
A content influence index calculation step of calculating an influence index for each content based on the content evaluation index and the influence index for each user; And
Wherein each time an influence index for each content is calculated in the content influence index calculation step, based on at least one of the user evaluation index and the user relationship index and the influence index for each content calculated at the content influence index calculation step, And a second user influence index calculating step of re-calculating the influence index for each user. delete delete ◈ Claim 14 is abandoned due to registration fee. 12. The method of claim 11,
The evaluation index calculation step may include:
And a control unit configured to control the user to select the specific content from among the total number of the reaction contents registered from the time when the specific content is registered to the current time and the total number of the reaction contents, And the content evaluation index for the specific content is calculated on the basis of at least one of the number of response contents registered by another user who does not have an acquaintance relationship with the registered specific user. delete delete delete

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