A method and system for analyzing user participation in hot topic behavior based on hidden links

A hot topic and user technology, applied in the fields of data mining and social network analysis, can solve problems such as increasing computational complexity and lack of theoretical basis for subjective weighting methods, and achieve the effect of improving driving efficiency and accuracy

Active Publication Date: 2020-03-17
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] The present invention is aimed at the problems existing in the prior art: the prior art adopts the deficiency of multi-attribute weight distribution, that is, the subjective weighting method lacks a theoretical basis, and the objective weighting method has a dependence on data and increases the computational complexity

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  • A method and system for analyzing user participation in hot topic behavior based on hidden links
  • A method and system for analyzing user participation in hot topic behavior based on hidden links
  • A method and system for analyzing user participation in hot topic behavior based on hidden links

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Embodiment Construction

[0019] In order to make the purpose and technical solution of the present invention more concise and clear, the specific implementation of the present invention will be further described below with reference to the accompanying drawings and examples.

[0020] Such as figure 1 Shown is the flow chart of the embodiment of the present invention, which mainly includes: obtaining data sources, extracting information such as friend relations, past behaviors, personal attributes, etc., obtaining display link F information from friend relations; using the cloud model to obtain hidden links from past behaviors H; Obtain personal interest I according to personal attributes, and randomly participate in R information; establish a FHIR model to analyze the driving strength of the above factors on user behavior.

[0021] S1: Get data. The data acquisition module acquires data by using web crawlers or open API platforms of various social networking sites. The data content mainly includes t...

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Abstract

The invention discloses a hot topic participation behavior analysis method and system of users based on an implicit link, and belongs to the field of computer network information. Information such as past behaviors and self attributes the users are obtained; the common past behaviors between the users are extracted, thus obtaining a label similarity coefficient; the concern extents of the users to the common past behaviors are analyzed through a cloud model, thus obtaining the similarities of the users; whether an implicit link exists between two users or not is judged according to a threshold value; finally a drive force model is established according to the hot topic participation drive factors such as an explicit link, the implicit link, personal interests and behavior randomness of the users; and decisive factors of participating in topic discussions by the users are determined. According to the method, the implicit link is imported in the drive force analysis model. The multi-dimensional cloud model is provided for the users to establish the implicit link. An empowerment problem is avoided. The drive force factor of participating in topic discussions by the user is analyzed specific to each user. The method can be widely applied to related fields such as social network data analysis.

Description

technical field [0001] The invention belongs to the fields of data mining and social network analysis, and mainly relates to the construction of network structure and resource allocation according to the analysis of social network user behavior. Background technique [0002] With the rapid development of the Internet and mobile Internet, network systems represented by social networks have gradually become the main form of information dissemination and communication for people, and the analysis of social networks has gradually become a research hotspot. The essence of social network analysis is the analysis of user behavior. [0003] User behavior analysis based on hot topics belongs to the group behavior analysis of users. The current research on hot topics mainly conducts research and exploration in different depths from the directions of user influence and information dissemination. Most topic-based influence analysis focuses on the driving factors of "displayed links" su...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/958G06Q50/00
CPCG06F16/958G06Q50/01
Inventor 肖云鹏李娜刘宴兵康自恒李松阳刘瀚松
Owner CHONGQING UNIV OF POSTS & TELECOMM
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