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User influence analysis method based on social network user behaviors

A social network and influence technology, applied in the information field, can solve problems such as difficult to determine the normalization coefficient, and achieve full utilization effect

Inactive Publication Date: 2014-06-25
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

This method is relatively simple, but the normalization coefficients of various behaviors are not easy to determine

Method used

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  • User influence analysis method based on social network user behaviors
  • User influence analysis method based on social network user behaviors
  • User influence analysis method based on social network user behaviors

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Experimental program
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Embodiment Construction

[0024] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] Step 1: Calculation of user relationship influence

[0026] Such as figure 2 As shown, the initial value of the relationship influence of all users is set to 1. User A follows User C and User D. User A divides his user relationship influence between user C and user D equally. User B follows User C and two other users. User B equally distributes his user relationship influence to user D and two other users. The user relationship influence of user C is 0.83, obtained from user A and user B respectively. User D's user relationship influence is 0.5, which is obtained from user A.

[0027] Step 2: Calculation of user activity influence

[0028] Such as image 3 As shown, the influence calculated by user A through user relationship influence is 4, and he has commented on user C and user D within a certain perio...

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Abstract

The invention provides a user influence analysis method based on social network user behaviors and relates to the technical field of information. According to the method, users with high influence can be analyzed comprehensively with the user relation method and the user activity method through a data set of a social network. Compared with a model based on PageRank of an existing method for analyzing influence based on the social network, the user influence analysis method based on social network user behaviors relates to more data relations, diffusion of influence is relevant to the initial value, the diffusion process is influenced by the number and the content of user comments, and thus the method is more reasonable. Compared with a model based on an IDM, the relation between the method and users can be utilized more fully, and layer fracture phenomena do not exist in the IDM. Compared with a traditional model based on user behaviors, a mode of the offline relation between humans is subjected to analogy, and thus the original intention of turning the offline relation between humans to the online relation in the social network can be fit better.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a user influence analysis method based on social network user behavior. Background technique [0002] With the development of the Internet, users have changed from a passive viewer who obtains and reads information from major websites through a browser to an editor, user and disseminator who can actively participate in the development of the Internet. In the web2.0 era, users have more voice and initiative, and can directly participate in and publish content, which greatly enhances the communication between users. As a prominent product of this era, social network has the characteristics of large user scale, various topics, rapid information transmission and wide influence. The rapid development of social networks has become a new type of information carrier and broadcast medium, and it has an increasing impact on daily work and life. In the process of information dissemin...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06Q50/01
Inventor 姜伟高梦迪张建标赖英旭李健庄俊玺张世翔
Owner BEIJING UNIV OF TECH
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