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Microblog user influence ranking method integrating user time information

A technology of user time and influence, applied in data processing applications, instruments, character and pattern recognition, etc., can solve problems such as affecting user influence

Active Publication Date: 2018-08-28
FUZHOU UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] However, the current influence model research on specific topics often ignores the temporal characteristics hidden in user behavior, and these temporal characteristics are usually closely related to the user's information diffusion ability. The size of the user's information diffusion ability directly affects the user's social media. influence

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  • Microblog user influence ranking method integrating user time information
  • Microblog user influence ranking method integrating user time information
  • Microblog user influence ranking method integrating user time information

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Embodiment Construction

[0100] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0101] Such as figure 1 As shown, a microblog user influence ranking method that integrates user time information includes the following steps:

[0102] Step S1: Characterize microblog users;

[0103] Step S2: cluster all user sets according to the characteristics of micro-blog users, and obtain potentially influential user sets in micro-blog;

[0104] Step S3: Construct a tensor influence model under a specific topic field for the potentially influential user set;

[0105]Step S4: Decompose the tensor influence model, add time characteristic constraints related to user information diffusion ability into the process of tensor decomposition, and reconstruct a new tensor influence model;

[0106] Step S5: Predict the user's influence score according to the reconstructed tensor influence model;

[0107] Step S6: sort according to the user's influence s...

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Abstract

The invention relates to a microblog user influence ranking method integrating the user time information. The method comprises steps that (1) characterizing microblog users is carried out; (2) all theuser sets are clustered according to the microblog user characteristics to acquire potential influence user sets in the microblog; (3) a tensor influence model under the specific topic area is constructed for the potential influence user sets; (4) a new tensor influence model is reconstructed through utilizing tensor decomposition; (5) a user influence score is predicted based on the reconstructed tensor influence model; and (6), according to the user influence score, ranking from high to low scores is carried out, and the user influence ranking result is acquired and outputted. The method isadvantaged in that user influence prediction precision under the specific topic area can be improved.

Description

technical field [0001] The invention relates to the technical field of user influence analysis, in particular to a method for ranking microblog user influence by integrating user time information. Background technique [0002] Currently, there are many technical methods available for user influence analysis. Traditional user influence analysis methods are mainly based on statistical user characteristic data to measure user influence. In general microblogs, the system will record different characteristic data of users, which include the number of fans, number of followers, number of published articles, number of comments, number of reposts, etc. By analyzing and mining the distribution and rules hidden behind such characteristic data, the potential influence indicators of users can be obtained. This type of method has an intuitive statistical method, a relatively simple calculation process, and good universality. However, because most of the selection is the intuitive chara...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00G06K9/62
CPCG06Q10/04G06Q50/01G06F18/2321
Inventor 廖祥文陈国龙张凌鹰杨定达
Owner FUZHOU UNIV
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