KR20120137541A - Method and apparatus for social network analysis service - Google Patents

Abstract

PURPOSE: A social network analysis service method and a device are provided to analyze a diffusion situation and information sharing between a plurality of social network service(SNS) users, thereby analyzing a behavioral pattern, an inclination and influence for a plurality of the SNS users or a community group. CONSTITUTION: Relation information between a plurality of SNS users using a SNS is collected and a social network between a plurality of the SNS users is constructed(S330). SNS data generated by a plurality of the SNS users is collected by relating an analysis object which a service requester requests(S340). A flow of the collected SNS data is analyzed and analysis information is extracted(S350). [Reference numerals] (AA) Start; (BB) End; (S310) Setting an analysis object(keyword, post data of a service requestor, URL); (S320) Setting an analysis range(language, period, area); (S330) Confirming a social network by collecting relation information between SNS users; (S340) Collecting text data shared and diffused between the SNS users by relating the analysis object within the analysis range; (S350) Extracting SNS analysis information including at least one of a behavior pattern, a tendency, influencing power for a SNS user or a community group by analyzing a state which the text data is diffused; (S360) Providing the extracted SNS analysis information to a service requestor

Description

Method and apparatus for social network analysis service

The present invention analyzes the state of sharing and spreading information among a plurality of SNS users made through a social network service (SNS), and analyzes and provides behavioral patterns, propensities and influences for SNS users or community groups. It relates to an analysis service method and apparatus.

As the network technology represented by the Internet develops, online services are provided in various fields such as culture, shopping, entertainment, and marketing.

Among them, online marketing has begun in a form of unilaterally delivering information of a company or a product to a user through a homepage. Recently, various types of marketing using SNS have been attempted as the use of SNS has increased rapidly.

SNS is a service that enables to connect and communicate with unspecified others online, and its use is being activated according to the emergence of high-performance terminal devices such as smart phones and inexpensive networks such as Wi-Fi networks. As a result, SNS users are expected to surge.

In order to effectively use the SNS for marketing, it is necessary to analyze behavior patterns, connections, influences, and propensities of SNS users, but such an analysis service is not yet provided.

Meanwhile, although trend analysis based on keywords has been performed in the past, analysis of information flow, network, influence, etc. between SNS users is impossible with keyword-based analysis.

Accordingly, the present invention has been proposed to solve a conventional problem, and analyzes the sharing and spreading state of information among a plurality of SNS users, and analyzes and provides social network analysis by analyzing behavior patterns, propensities, and influences on SNS users or community groups. It is intended to provide a service method and apparatus.

The present invention provides a means for solving the above problems, comprising the steps of: collecting relationship information between a plurality of SNS users using a social network service, building a social network between a plurality of SNS users; A collection step of collecting SNS data generated by the plurality of SNS users in association with an analysis object; Analyze the flow of the collected SNS data on the social network, and includes at least one of an influence SNS user or community group, behavior pattern, propensity, and influence information of the influential SNS user or community group related to the analysis target. It provides a social network analysis service method comprising an analysis step of extracting the analysis information.

In addition, the present invention as another means for solving the above problems, comprising the steps of collecting the relationship information between a plurality of SNS users using the SNS, building a social network between the plurality of SNS users; Generating and providing shortened URL information corresponding to URL information of web content related to an analysis target requested by the service requester; Connecting the SNS user who requested access through the shortened URL information to the web content; A collection step of collecting SNS data generated by a plurality of SNS users in association with an analysis object requested by a service requester; And analyzing the flow of the collected SNS data on the social network, and analyzing at least one of behavior patterns, propensity, and influence information of the influential SNS user or community group, the influential SNS user or community group in relation to the analysis object. It provides a social network analysis service method comprising an analysis step of extracting the analysis information including, wherein the collecting step collects the SNS data including the shortened URL information, through the shortened URL information The number of times of access to the web content may be collected.

The social network analysis service method according to the present invention comprises: setting the analysis target according to a request of a service requester; And providing analysis information extracted in association with the analysis subject in the analyzing step to the service requester.

In the social network analysis service method according to the present invention, the collecting step includes one or more of a predetermined keyword, data posted by the service requester, and preset URL information among SNS data generated by the plurality of SNS users. Collect SNS data that includes.

The social network analysis service method according to the present invention may further include setting an analysis range before the collecting step, and collecting SNS data satisfying the set analysis range in the collecting step.

In the social network analysis service method according to the present invention, the analyzing step includes: filtering the morphemes of the characters included in the collected SNS data, and filtering the SNS data including keywords that are less relevant to the analysis target. Extracting a statistical value of SNS data matching an analysis target for each period, extracting an information flow social network in which the collected SNS data is shared and spread among the social networks; Grouping and extracting a plurality of SNS user groups that share and spread the collected SNS data based on one or more community groups, the number of SNS users belonging to a community group, and the SNS data shared and spread in relation to the analysis target Awards based on one or more of numbers Selecting one or more community groups among the extracted one or more community groups, analyzing the flow of SNS data between SNS users based on the information flow social network, and extracting influential SNS users; It can be done by.

In the social network analysis service method according to the present invention, the extracting the influential SNS users may include: the number of users each SNS user has a relationship with through SNS, the number of posts of the corresponding SNS user, and the posts of the SNS user. Calculating a basic index including one or more of the number of responses of other users to the information; And calculating an application indicator by combining relationship information between the basic indicator and the SNS user, and comparing the basic indicator and the application indicator to extract an influential SNS user, wherein the basic indicator and the application indicator May be performed in units of a certain period, and the basic index and the application index may be calculated by giving different weights for each period.

In addition, the present invention is another means for solving the above problems, the data collection unit for collecting the relationship information between a plurality of SNS users and the SNS data generated by the plurality of SNS users; And establishing a social network between the plurality of SNS users from the relationship information between the SNS users, analyzing the flow of the collected SNS data on the social network, and influential SNS users or community groups related to the analysis object. Provided is a social network analysis service apparatus including a social network analysis unit which extracts analysis information including at least one of behavior patterns, propensity, and influence information of an SNS user or a community group.

In the social network analysis service apparatus, the apparatus may further include a user interface unit for identifying an analysis service request of a service requester and providing analysis information extracted corresponding to the requested analysis service to the service requester.

In the social network analysis service apparatus, the social network analysis unit may further generate marketing strategy information for an SNS user based on the extracted analysis information and provide the service requester to the service requester through the user interface unit.

In the social network analysis service apparatus, the social network analysis unit may set an analysis target and an analysis range according to a request of the service requester, and allow the data collection unit to collect SNS data satisfying the set analysis range. have.

In the social network analysis service apparatus, the data collection unit may collect SNS data including one or more of a predetermined keyword, data posted by the service requester, and preset URL information among SNS data generated by an SNS user. Can be.

The social network analysis service apparatus generates short URL information on specific web content according to a request of a service requester, and provides the shortened URL information to an SNS user who wants to share the corresponding web content, and the SNS user uses the shortened URL information. The apparatus may further include a shortened URL providing unit supporting access to the web content, wherein the shortened URL providing unit checks the number of times of access to the web content through the generated shortened URL information and provides the shortened URL information to the social network analyzer. can do.

In the social network analysis service device, the social network analysis unit analyzes the morphemes of the characters included in the collected SNS data, removes the SNS data including a keyword that is less relevant to the analysis target, and analyzes by period. Extracting statistics on the SNS data matching the object, extracting the information flow social network sharing and spreading the collected SNS data from the social network, and based on the information flow social network, the collected Influential community groups and influential SNS users can be selected from among a plurality of SNS user groups that share and spread SNS data.

The social network analyzer calculates a basic index including one or more of the number of other users to which each SNS user has a relationship, the number of posts of the corresponding SNS user, and the number of responses of other users to the posts of the SNS user, After calculating the application indicator by combining the relationship information between the indicator and the SNS user, the influential SNS user may be selected by comparing the basic indicator and the application indicator.

According to the present invention, based on the relationship established between a plurality of SNS users, it is possible to effectively analyze the communication activities between a plurality of SNS users, through which, by analyzing the behavior pattern, propensity, influence of the SNS users can service Excellent effect.

In particular, by analyzing the flow of information between the SNS users, among the plurality of SNS users, it is possible to extract an influential SNS user in relation to the analysis target, and to enable target marketing through the extracted influential SNS users Excellent effect.

1 is a block diagram schematically illustrating a social network analysis service system according to the present invention.
2 is a block diagram showing the configuration of a social network analysis service apparatus according to the present invention.
3 is a message flow diagram illustrating a service process of a social network analysis service apparatus according to an embodiment of the present invention.
4 is a message flow diagram illustrating a service process of a social network analysis service apparatus according to another embodiment of the present invention.
5 is a flowchart illustrating a social network analysis service method according to the present invention.
6 is a flowchart illustrating an analysis process in more detail in the social network analysis service method according to the present invention.
7 and 8 are diagrams illustrating an example of an information flow social network and a community group extracted by a social network analysis service according to the present invention.
9 to 14 illustrate various examples of analysis information provided through a social network analysis service according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description and the accompanying drawings, detailed description of well-known functions or constructions that may obscure the subject matter of the present invention will be omitted. In addition, it should be noted that like elements are denoted by the same reference numerals as much as possible throughout the drawings.

1 is a block diagram schematically illustrating a system structure in which a social network analysis service according to the present invention is performed.

In FIG. 1, 100 is a social network analysis service apparatus for providing an analysis service according to the present invention, and 200 is a server device of a service provider providing a social network service, and a plurality of terminal devices 201 to 20n connected through a network. SNS device for providing a social networking and information exchange to the SNS user through), 201 ~ 20n represents the terminal device of the SNS user using the SNS service provided through the SNS device 200. Here, the SNS device 200 and the plurality of terminal devices 201 to 20n may be connected through a public network for data transmission. For example, the SNS device 200 may transmit / receive a large amount of data through an internet protocol and a data service without disconnection. All IP, Wibro (Wireless Broadband) network, IP network, IP network, IP network structure that integrates different networks based on IP, Wireless LAN including Wi-Fi network, Wired communication network It can be a next generation communication network to be developed in the future, as well as various conventional communication networks such as mobile communication network, HSDPA (High Speed Downlink Packet Access) network and satellite communication network.

In addition, the social network analysis service apparatus 100 and the SNS apparatus 200 may be connected through a dedicated network as well as the above-described public network.

In addition, although FIG. 1 illustrates one SNS device 200 for convenience of description, since there are actually a plurality of SNS devices 200 built in different SNS service providers, the social network analysis service device 100 is shown. ) May provide the same analysis service to multiple SNS devices 200.

The SNS device 200 basically services a relationship between a plurality of SNS users and information exchange between SNS users having a relationship, and a specific service method and terms used may be implemented differently according to a service provider. Accordingly, in the present invention, the SNS users expressed as a 'relationship' between SNS users expressed as follow or friends, etc., and SNS users having a relationship such as posts, posts, tweets, retweets, comments, and mentions (Mention) The operation of exchanging information with each other is expressed as "sharing and spreading" of information, and the information shared and spreading is expressed as SNS data. Here, the SNS data includes text, images, URL information, and user information (eg, user ID) for sharing and spreading the information.

The social network analysis service apparatus 100 analyzes the information exchanged through the social network service and the flow thereof, and analyzes behavior patterns, dispositions, connections, and influences of SNS users. To this end, the social network analysis service apparatus 100 may set an analysis target and an analysis range according to a request of a service requester. In addition, within the analysis range, the SNS device 200 collects relationship information of multiple SNS users and SNS data generated by multiple SNS users. The social network analysis service apparatus 100 analyzes the collected SNS data to analyze behavior patterns, dispositions, connections, and influences of SNS users. The analysis may be performed in units of SNS users or in units of community groups, which are groups of a plurality of SNS users exchanging information.

2 is a block diagram showing the configuration of the social network analysis service apparatus 100. Here, the social network analysis service apparatus 100 may be implemented in various ways, such as a server-based computing structure, a grid computing structure, and a cloud computing structure. In FIG. 2, the social network analysis service apparatus 100 may be configured regardless of such a structure. Element is divided into functional units. Therefore, the components of the social network analysis service apparatus 100 shown below may be integrated into one device or may be distributedly implemented in multiple devices in actual implementation.

2, the social network analysis service apparatus 100 according to an exemplary embodiment of the present invention may include a user interface 110, a data collector 120, a social network analyzer 130, and a shortening. It includes a URL providing unit 140.

The user interface 110 is for supporting a service use of a service request using a social network analysis service. The user interface 110 processes an analysis service request of a service requester and provides the service requester with analysis information corresponding to the requested analysis service.

The user interface 110 may support service request and analysis information in various ways. For example, a web page may be implemented to receive a service request through the web page, and provide analysis information about the service request to a user.

The data collector 120 collects relationship information between a plurality of SNS users and SNS data generated by a plurality of SNS users from the SNS device 200.

The social network analyzer 130 sets an analysis target and an analysis range according to a request of a service requester. To this end, the social network analyzer 130 may receive an analysis target and an analysis range from the service requester through the user interface 110. The analysis target may be set by combining one or more of a keyword, data posted by a service requester, and a URL indicating a location of web content related to the analysis target. The analysis range is for limiting the collection range of the SNS data, and may be set by combining one or more of a period, a language, and a region. The social network analyzer 130 analyzes SNS data matching the analysis target and the analysis range from the SNS data collected by the data collector 120, and extracts SNS users and community groups related to the analysis target, Analyze their behavior patterns, dispositions and influences. In this case, the SNS data may be collected within the set analysis range by the data collector 120 and provided to the social network analyzer 120. The analysis information generated as a result of the analysis in the social network analyzer 130 is provided to the service requester through the user interface 110.

In addition, the social network analyzer 130 may further generate marketing strategy information for an SNS user based on the analysis information and provide the same to the service requester. The marketing strategy information is established based on the analyzed behavior pattern and influence of the SNS user or community group. For example, the marketing strategy information may be used for marketing targets (SNS users), contact timings and contact methods for SNS users, and marketing. May include a preferred topic or a preferred word.

Meanwhile, the social network analyzer 130 may analyze the SNS user's response, behavior pattern, and propensity for specific web content and provide the same to the service requester. In this case, the web content is shared and spread in the form of a link. Accordingly, the social network analyzer 130 may track the sharing and spreading of URL information on specific web content, and analyze the reaction, behavior pattern, and propensity of the SNS user with respect to the web content.

The social network analysis service apparatus 100 according to the present invention may further provide a shortened URL service in order to more easily track the web content, and for this purpose, the shortened URL provider 140 may be included.

The shortened URL providing unit 140 generates a shortened URL for specific web content related to the analysis target according to a request of the service requester, and provides the shortened URL to an SNS user who wants to share the corresponding web content. In addition, the SNS user supports access to the web content through the shortened URL. More specifically, the shortened URL providing unit 140 changes the SNS user to the original URL when the SNS user requests an access to the shortened URL, thereby allowing access to the corresponding web content. In addition, in the present invention, the shortened URL provider 140 checks the number of times of access to the corresponding web content through the shortened URL and provides the shortened URL to the social network analyzer 130.

The social network analyzer 130 may obtain the correct number of accesses to the web content and provide the same to the service requester.

The social network analysis service apparatus 100 described above may analyze various reactions and trends made through communication between SNS users.

3 and 4 are message flow diagrams illustrating two embodiments of a social network analysis service according to the present invention.

First, Figure 3 illustrates the case of analyzing the response of the SNS user to the posting of the service requester.

In FIG. 3, the service requester 300 requests an analysis service to the social network analysis service apparatus 100, and specifically requests an analysis of the response of the SNS user to the posting of the service requester (S110).

In addition, when the service requester 300 accesses the SNS device 200 and performs a posting (S120), the posting data is an SNS user who has a relationship with the service requester 300 and another who has a relationship with the SNS user. It is shared and spread through the SNS user (S130).

At this time, the social network analysis service device 100 of the present invention collects relationship information of a plurality of SNS users from the SNS device 200 and builds a social network between current SNS users (S140).

In addition, the social network analysis service apparatus 100 sets posting data of a service requester as an analysis target, and collects SNS data including the posting data from the SNS apparatus 200 (S150). The collected SNS data includes retweets, comments, mentions, and the like for the posting data.

Then, the collected SNS data and social networks are combined to analyze the SNS user's response to the posting of the service requester, thereby analyzing infor- mation information including influential community group and SNS user information, their propensity, behavior pattern, and influence index. To derive (S160).

When the analysis is completed, the social network analysis service apparatus 100 provides the derived analysis information to the service requester 300 (S170).

In addition, the social network analysis service apparatus 100 may further generate marketing strategy information for an SNS user based on the derived analysis information and provide the same to the service requester 300 (S180). The marketing strategy information is established based on the analyzed behavior pattern and influence of the SNS user or community group. For example, the marketing strategy information may be used for marketing targets (SNS users), contact timings and contact methods for SNS users, and marketing. May include a preferred topic or a preferred word.

When applying this, the social network analysis service device 100 according to the present invention, when a company launches a specific product, performs a specific campaign in a public institution, or a famous movie actor releases a new movie, The response of the SNS user to the analysis can be provided.

Next, FIG. 4 illustrates a case of analyzing a response of an SNS user to specific web content designated by a service requester.

Referring to FIG. 4, the service requester 300 may generate web content for online advertisement / publicity and provide the same to a plurality of online users through a network (S205).

In this case, the service requester 300 may request an analysis of an advertisement / publicity effect on the web content (S210).

When the analysis request is received, the social network analysis service apparatus 100 generates a shortened URL for the web content (S215).

When a certain SNS user requests sharing of the web content (S220 and S225), the social network analysis service apparatus 100 provides the generated shortened URL to the corresponding user through the SNS apparatus 200. Such a shortened URL may be shared and spread among multiple SNS users through the SNS device 200 included in the SNS data created by the SNS user (S235).

In addition, when any SNS user who has received the SNS data including the shortened URL selects a connection to the shortened URL, access to the corresponding web content is made through the social network analysis service apparatus 100 (S240).

The social network analysis service apparatus 100 of the present invention collects the number of times of access to the web content using the generated shortened URL (S245).

In addition, the social network analysis service apparatus 100 collects relationship information of a plurality of SNS users from the SNS device 200 and builds a social network between the plurality of SNS users (S250).

In addition, the social network analysis service apparatus 100 sets the shortened URL as an analysis target and collects SNS data including the shortened URL from the SNS device 200 (S255).

The collected SNS data and social networks are then combined to analyze the SNS user's response to the web content, thereby deriving analytical information including influential community group and SNS user information, their disposition, behavior pattern, and influence index. (S260).

When the analysis is completed, the social network analysis service apparatus 100 provides the derived analysis information to the service requester 300 (S370). In this case, the access to the web content derived in the step S245 may be included in the analysis information and transmitted (S265).

In addition, the social network analysis service apparatus 100 may further generate marketing strategy information for an SNS user based on the analysis information and provide the same to the service requester (S270).

When applying this, the social network analysis service apparatus 100 according to the present invention may analyze various reactions of the SNS user to the product by setting a web page for selling a specific product as an analysis target.

Hereinafter, the social network analysis service process provided by the social network analysis service apparatus 100 described above will be described in more detail.

5 and 6 are flowcharts illustrating a social network analysis service method according to the present invention. In addition, FIGS. 7 to 12 are exemplary diagrams for explaining the social network analysis service according to the present invention.

Referring to FIG. 5, the social network analysis service apparatus 100 first sets an analysis target according to a request of a service requester (S310). Here, the service requester may be, for example, an individual including a company or a public institution or a politician or an entertainer who wants to market through SNS, and the analysis target may vary according to information desired by the service requester. For example, the analysis target may be set by combining one or more of keywords related to information desired by the service requester, data posted by the service requester, and URL information linked to specific web content.

In addition, the social network analysis service apparatus 100 sets an analysis range (S320). The analysis range designates a range for collecting data within the SNS service range, and may be set by combining one or more of a period, a language, and a region. For example, by setting the language to Korean, the scope of analysis can be limited to SNS users who use Korean. Setting of the analysis range may be made according to a request of a service requester, or may be arbitrarily made for efficient analysis in the social network analysis service apparatus 100. In addition, the step S320 may be omitted in some cases.

Next, the social network analysis service apparatus 100 collects relationship information between a plurality of SNS users through the SNS device 200, and builds a social network indicating a relationship between a plurality of SNS users connected through SNS (S330). For example, the relationship information may include identification information (ID) of the SNS user and information of another SNS user with whom the SNS user has a relationship. The social network analysis service apparatus 100 expresses a plurality of SNS users as nodes, and forms a social network by connecting nodes of SNS users who have a relationship based on the collected relationship information.

In addition, the social network analysis service apparatus 100 collects all SNS data generated by a plurality of SNS users in association with the set analysis target through the SNS apparatus 200 (S340). For example, when the analysis target is set as a keyword, all the SNS data including the keyword is collected. In addition, when the analysis target is set as post data of the service requester, all the SNS data including the data posted by the service requester is collected. In particular, when the analysis target is set to a specific URL, all the SNS data to which the URL is linked are collected. Here, the collected SNS data refers to data including at least one of a character, URL information, an image, and user information for sharing and spreading the SNS data. Specifically, SNS data created and posted by each SNS user, This includes all SNS data generated through social network services such as SNS data, comments, and mentions shared by retweets. In addition, when the analysis range is set in the step S320, the step S340 may collect SNS data within the set analysis range. For example, when Korean is set as a language, SNS data including Korean is collected.

Subsequently, the social network analysis service apparatus 100 analyzes the flow of the collected SNS data on the social network, and analyzes the analysis information including at least one of behavior patterns, propensity, and influence information for an SNS user or a community group. Extract (S350). In more detail, the analysis process in step S350 may be performed as shown in FIG. 6.

That is, as shown in FIG. 6, the step S350 includes a filtering step S410, a statistical step S420, an information flow social network extraction step S430, and an influential community group selection step S450. And, one or more of the influential SNS user extraction step (S460).

In the filtering step (S410), by morphological analysis of the characters included in the collected SNS data, by removing the SNS data containing keywords less relevant to the analysis target, it is possible to increase the accuracy of the analysis results. The keyword filtering can be performed by applying existing keyword analysis techniques.

In the statistical step (S420), based on the collected SNS data, statistical information about the occurrence status of the SNS data matching the analysis target for each period is extracted. For example, by collecting the number of SNS data matching the analysis target for each period (day, week, month, year) of the collected SNS data, it is possible to check the SNS user's response to the analysis target.

In the information flow social network extraction step (S430), the information flow social network to which the collected SNS data is shared and spread is extracted from the social networks established in step S330 of FIG. That is, only the SNS user group that shares and spreads the collected SNS data is extracted, and the spread state of the SNS data between the extracted SNS user groups is represented by an information flow social network. In this case, the spread state of the SNS data may be indicated in the direction of an arrow connecting the SNS users.

7 and 8 illustrate an example of an information flow social network extracted through the information flow social network extraction step (S430), where a dotted line represents a relationship between SNS usage, and two SNS users connected by a dotted line Become mutually connected users through friends or follow-up settings. In addition, the solid line indicates the exchange of SNS data between the SNS users, and the SNS users connected by the solid line become users who share and spread the collected SNS data. In particular, the direction of the solid line indicates the diffusion direction of the corresponding SNS data.

Therefore, in FIG. 7 and FIG. 8, the network of SNS users connected by a dotted line means a social network established in step S330, so that the SNS user group connected by a solid line thereon exchanges SNS data related to an actual analysis target. Represents a flow social network. For example, in the case of FIG. 5, User 1 to User 8 constitute the information flow social network 10, and in FIG. 6, User 11 to User 18 constitute the information flow social network 20.

Referring back to FIG. 6, in the influential community group selection step (S450), based on the information flow social network extracted in the step S430, a plurality of SNS users sharing and spreading data related to the analysis target are performed. Bind groups into one or more community groups. The predetermined number of influential community groups are selected from the extracted one or more community groups based on one or more of the number of users belonging to each community group and the number of data shared and spread in relation to the analysis target. Herein, the community group refers to a group of SNS users who exchange SNS data, that is, a communication, with respect to the analysis object, and in particular, an influential community group refers to a community group in which a lot of communication related to the analysis object is performed. In extracting such a community group, by setting the size of the community group, it is possible to extract only the community group that can provide the actual valid analysis information. In another embodiment of the present invention, a keyword network may be extracted. For example, when analyzing trends recently issued between SNS users, one or more keyword networks that are being issued may be extracted. The above-mentioned community group extraction may be performed using various algorithms. For example, the community group or the keyword network may be extracted using the Modularity Optimization method. Modularity Optimization is a method of extracting a node group having a tight link into a community group in constructing a network by expressing an SNS user as a node and a relationship between the SNS users as a link, and thus an index indicating an optimization degree of community extraction. It extracts the optimized community group based on modularity. Referring to FIG. 7, the information flow social network 10 may be extracted into two community groups CG1 and CG2 according to the information flow between SNS users. In FIG. 8, the information flow social network 20 may be extracted. It can be extracted into one community group.

Finally, in the step of extracting the influential SNS user (S460), the spread direction of the SNS data is analyzed from the extracted information flow social network or the community group, and at least one influential SNS user is extracted in relation to the analysis target. do. To this end, in step S460, at least one of the number of other users each SNS user has a relationship through the SNS, the number of posts through the SNS of the SNS user, the number of responses of other users to the posts of the SNS user It is possible to calculate the base index to include. In addition, the application indicator generated by combining the relationship information between the basic indicator and the SNS user can be calculated. The application index can be obtained using, for example, a K-shell Index, a PageRank, and an Influency-Passivity Algorithm. Thereby, the application index can be calculated by complex analysis of the size of the relationship network in which each SNS user is associated with other users, and the size of the communication network in which actual communication is performed on the relationship. Here, the K-shell index is a value obtained when performing network analysis by the K-shell decomposition method, and is used to find a node having high interconnectivity. PageRank is a value given to each node in consideration of the degree of cross-reference of each node in the network. The higher this value is, the more likely it is to be an important node in the network. The Influence-Passivity Algorithm distinguishes between the affected and affected sides of the network, and applies the interactions of the two to determine the influence and passiveness of each node.

In step S460, the influential SNS user is extracted by comparing the calculated basic indicators and the application indicators. For example, in FIG. 7, in the community group CG2, an influential SNS user may be User 6 in consideration of all the relationships and interactions with other users, and in FIG. 8, User 14 is influential. Can be extracted as an SNS user.

Extraction of influential community groups and SNS users as described above may be helpful in selecting marketing targets in marketing utilizing SNS.

In addition, the influential community group selection step (S450) and the influential SNS user extraction step (S460) may be executed in predetermined period units (eg, daily, weekly, monthly, yearly), and in particular, for each period. By assigning different weights to each other, more accurate screening can be achieved. For example, because people's interests may continue to change, with respect to a particular analyte, the exchange of interests may change as interests change while the information of interest is reduced. Thus, by giving higher weight to recently generated SNS data, it is possible to more accurately analyze the influence of community groups and SNS users.

When the social network analysis related to the analysis target is completed through the above steps S410 to S460, the social network analysis service apparatus 100 provides the extracted analysis information to the service requester through the user interface 110. (S360). In this case, the provided analysis information includes one or more of the extracted influential community groups and behavioral patterns, inclinations, and influences of SNS users, and the analysis information is provided through various applications or graphs, thereby providing a service requester with Make analysis results easier to see.

9 to 14 illustrate a user interface screen for providing analysis information to a service requester.

First, FIG. 9 illustrates a user interface screen providing keyword distribution information among analysis information in the social network analysis service according to the present invention.

Referring to FIG. 9, the social network analysis service according to the present invention may provide keyword distribution information through a keyword network in which SNS user groups with active communication for specific keywords are bundled. That is, in FIG. 9, each circle represents each social network made up of user groups in which information exchange associated with the keyword is performed, and the size of each circle represents the size of the keyword network. By providing the analysis information as shown in FIG. 9, the service requester can intuitively check the size of the SNS users interested in each keyword and the keyword that has become the most recent issue.

In addition, various statistical information in each keyword network illustrated in FIG. 9 may be provided together.

10 and 11 are graphs showing trends for each keyword, and FIG. 10 shows a number of post occurrences associated with each keyword in a plurality of keyword networks extracted as shown in FIG. Is a graph showing the statistical information about the response (eg, comments, comments, retweets, etc.) for each keyword by time. Here, the graph for each keyword is displayed in different colors so that the trend of the corresponding keyword can be grasped at a glance by matching with the keyword graph of FIG. 9.

In particular, the service requester may check the generation amount of the SNS data for each keyword through the statistical information of FIG. 10, and thus may identify a recently issued issue among SNS users. In addition, the service requester may check the degree of response of the SNS user for each keyword through the statistical information of FIG. 11, and may identify a community group in which communication is actively performed at each time.

FIG. 12 is a diagram illustrating the extraction of an SNS user group in which a relationship between SNS users is more closely connected in a social network in the social network analysis service according to the present invention. Here, each circle represents a community group grouping SNS users with a closer relationship between SNS users, the size of the circle represents the size of the community group, and the number inside each circle represents the number of SNS users of the community group. Indicates. As such, it is possible to extract and provide a community group that is closely interconnected on a social network.

In addition, in the social network analysis service according to the present invention, a change in the amount of SNS data (posts, tweets, retweets, mentions, comments, comments, etc.) generated in a plurality of community groups selected as shown in FIG. 13 is shown in a graph. According to this, the service requestor can intuitively grasp the community group and the time when the communication related to the analysis object is actively performed, among the extracted community groups, by referring to the statistical information as shown in FIG. 13.

In addition, in the social network analysis service according to the present invention, as shown in FIG. 14, in a specific community group, a relationship between SNS users may be illustrated and provided. In FIG. 14, each dot represents an SNS user belonging to a specific community group, and may be represented by varying the color and size of the dot according to the degree of influence of each user. In addition, the ranking of influence among SNS users belonging to a community group may be provided in a table form. According to this, the service requester can intuitively identify the influential SNS users in each community group.

The social network analysis service method according to the present invention may be implemented in software form readable through various computer means and recorded on a computer readable recording medium. Here, the recording medium may include program commands, data files, data structures, and the like, alone or in combination. Program instructions recorded on the recording medium may be those specially designed and constructed for the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. For example, the recording medium may be magnetic media such as hard disks, floppy disks and magnetic tapes, optical disks such as Compact Disk Read Only Memory (CD-ROM), digital video disks (DVD), Magnetic-Optical Media, such as floppy disks, and hardware devices specially configured to store and execute program instructions, such as ROM, random access memory (RAM), flash memory, and the like. do. Examples of program instructions may include machine language code such as those generated by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like. Such a hardware device 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 described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be apparent to those skilled in the art. In addition, although specific terms are used in the specification and the drawings, they are only used in a general sense to easily explain the technical contents of the present invention and to help the understanding of the present invention, and are not intended to limit the scope of the present invention.

The present invention is applied to the field of SNS marketing, based on the relationship established between a plurality of SNS users, it is possible to effectively analyze the communication activity between a plurality of SNS users, thereby analyzing the behavior pattern, propensity, influence of the SNS users There is an excellent effect that can be serviced.

In particular, by analyzing the flow of information between the SNS users, among the plurality of SNS users, it is possible to extract an influential SNS user in relation to the analysis target, and to enable target marketing through the extracted influential SNS users Excellent effect.

100: social network analysis service device
110: user interface unit
120: data collector
130: social network analysis unit
140: shortened URL provider
200: social network service (SNS) device
201 to 20n: terminal device of the SNS user

Claims (30)

Collecting relationship information between a plurality of SNS users using a social network service (SNS) to build a social network between the plurality of SNS users;
A collection step of collecting SNS data generated by a plurality of SNS users in association with an analysis object requested by a service requester;
Analyze the flow of the collected SNS data on the social network, and includes at least one of an influence SNS user or community group, behavior pattern, propensity, and influence information of the influential SNS user or community group related to the analysis target. Social network analysis service method comprising the step of extracting the analysis information. Collecting relationship information between a plurality of SNS users using a social network service (SNS) to build a social network between the plurality of SNS users;
Generating and providing shortened URL information corresponding to URL information of web content related to an analysis target requested by the service requester;
Connecting the SNS user who requested access through the shortened URL information to the web content;
A collection step of collecting SNS data generated by a plurality of SNS users in association with an analysis object requested by a service requester; And
Analyze the flow of the collected SNS data on the social network, and includes at least one of an influence SNS user or community group, behavior pattern, propensity, and influence information of the influential SNS user or community group related to the analysis target. Analysis step to extract the analysis information
Social network analysis service method comprising a. The method of claim 2, wherein said collecting step
Collecting SNS data including the shortened URL information. The method of claim 2, wherein said collecting step
And collecting the number of times of access to the web content through the shortened URL information. The method according to claim 1 or 2,
Setting the analysis target according to a request of a service requester; And
And providing analysis information extracted in association with the analysis subject to the service requester in the analyzing step. The method according to claim 1 or 2,
And generating and providing marketing strategy information for an SNS user to the service requester based on the extracted analysis information. The method according to claim 1 or 2, wherein the SNS data is
Social network analysis service method comprising at least one of a text, URL information, image, SNS user information. The method of claim 1 or 2, wherein the collecting step
And collecting SNS data including at least one of a predetermined keyword, data posted by the service requester, and preset URL information among all SNS data generated through the social network service. The method according to claim 1 or 2,
Before the collecting step, further comprising the step of setting the analysis range,
Social network analysis service method characterized in that to collect the SNS data satisfying the set analysis range in the collecting step. The method of claim 9, wherein setting the analysis range is
And setting at least one of a language, a period, and a region. The method of claim 1 or 2, wherein the analyzing step
And analyzing the morphemes of the characters included in the collected SNS data to remove SNS data including keywords that are less relevant to the analysis target. The method of claim 1 or 2, wherein the analyzing step
A social network analysis service method comprising the step of extracting a statistical value for the SNS data matching the analysis target for each period. The method of claim 1 or 2, wherein the analyzing step
Extracting, from the social network, an information flow social network in which sharing and spreading of the collected SNS data are performed. The method of claim 13, wherein said analyzing step
Based on the information flow social network, extracting a plurality of SNS user groups in which the collected SNS data is shared and spread into one or more community groups; And
And selecting influential community groups from the extracted one or more community groups based on one or more of the number of users belonging to a community group and the number of SNS data related to the analysis target. Way. The method of claim 13, wherein said analyzing step
And analyzing the flow of SNS data between SNS users based on the information flow social network to extract an influential SNS user. The method of claim 15, wherein extracting the influential SNS users
Calculating a basic index including at least one of the number of other users each SNS user has a relationship with through the SNS, the number of posts through the SNS of the SNS user, and the number of responses of the other user to the post of the SNS user; And
Calculating an application index by combining the basic index and relationship information of the SNS user;
Social network analysis service method characterized in that the influential SNS users are extracted by comparing the basic indicators and the application indicators. The method of claim 16, wherein extracting the influential SNS user comprises
The social network analysis service method, characterized in that for calculating the basic indicators and application indicators in a predetermined period unit. 18. The method of claim 17, wherein extracting the influential SNS user comprises
The calculating of the basic indicators and the application indicators is a social network analysis service method, characterized in that for calculating the basic indicators and the application indicators by giving different weights for each period. A data collector configured to collect SNS data generated by the plurality of SNS users in relation to the relationship information between the plurality of SNS users and the analysis target; And
Establish a social network between the plurality of SNS users from the relationship information between the SNS users, analyze the flow of the collected SNS data on the social network, and obtain information on the influential SNS users or community groups related to the analysis object; Social network analysis service device including a social network analysis unit for extracting analysis information including at least one of behavior patterns, propensity, influence information of an influential SNS user or community group. 20. The method of claim 19,
And a user interface unit which checks an analysis service request of the service requester and provides analysis information extracted corresponding to the requested analysis service to the service requester. 21. The method of claim 20,
The social network analysis unit further generates marketing strategy information for an SNS user based on the extracted analysis information and provides the service requester to the service requester through the user interface unit. The method of claim 19, wherein the social network analysis unit
And setting an analysis target and an analysis range according to a request of the service requester, and collecting the SNS data satisfying the set analysis range by the data collection unit. The method of claim 19, wherein the data collection unit
And collecting SNS data including at least one of a predetermined keyword, data posted by the service requester, and preset URL information among the SNS data generated through the social network service. 20. The method of claim 19,
According to the request of the service requester, a shortened URL for specific web content is generated and provided to the SNS user who wants to share the web content, and the shortened URL that supports the SNS user accessing the web content through the shortened URL. Social network analysis service device further comprises a providing unit. The method of claim 19, wherein the shortened URL providing unit
The social network analysis service device, characterized in that to check the number of times of access to the web content through the generated short URL provided to the social network analysis unit. The method of claim 19, wherein the social network analysis unit
Analyzing the morpheme of the characters included in the collected SNS data, social network analysis service device, characterized in that to remove the SNS data including a keyword less relevant to the analysis target. The method of claim 19, wherein the social network analysis unit
Social network analysis service apparatus, characterized in that for extracting the statistics for the SNS data matching the analysis target for each period. The method of claim 19, wherein the social network analysis unit
A plurality of SNS user groups are extracted from the social network, the information flow social network sharing and spreading the collected SNS data, and sharing and spreading the collected SNS data based on the information flow social network. Social network analysis service device, characterized in that for selecting the influential community group and the influential SNS users associated with the analysis target. The method of claim 28, wherein the social network analysis unit
Calculating a basic index including one or more of the number of other users each SNS user has a relationship with through the SNS, the number of posts through the SNS of the SNS user, and the number of times the other user responds to the post of the SNS user; After calculating the application indicator by combining the relationship information between the basic indicator and the SNS user, the social network analysis service apparatus, characterized in that the influential SNS user is selected by comparing the basic indicator and the application indicator. The method of claim 29, wherein the social network analysis unit
Social network analysis service device, characterized in that the basic index and the application indicator is calculated by giving a different weight for each period.

Images