Clustering method and system based on core group mining and opinion leader identification results

A technology for opinion leaders and identification results, which is applied in the field of data mining technology and social network analysis, and can solve rare problems

Active Publication Date: 2019-05-31
COMMUNICATION UNIVERSITY OF CHINA
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However, there are very few studies on the classification of

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  • Clustering method and system based on core group mining and opinion leader identification results
  • Clustering method and system based on core group mining and opinion leader identification results
  • Clustering method and system based on core group mining and opinion leader identification results

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[0058] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details. Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0059] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0060] figure 1 It is a schematic flow chart of the grouping method based on the core group mining and opinion leader identification results of the present invention, such as figure 1 As shown, the grouping method based on the core group mining and opinion leader identification results is based on the communication network formed by the public opinion dissemination of hot events on social platforms. In the core group mining and opinion leade...

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Abstract

The invention provides a clustering method and system based on core group mining and opinion leader identification results. The clustering method comprises the following steps: dividing a propagationnetwork user into an opinion leader, a de-intersection core group and other users; constructing a hierarchical propagation network model wherein nodes are users in the three classes, and propagation behaviors among the users serve as paths among the corresponding nodes; by obtaining the number of times the propagation behavior occurs, acquiring different comprehensive index values of different propagation directions of the middle layer and the bottom user, and a de-intersection core group-integrated indicator value table and other user-integrated indicator value tables are constructed; dividing the opinion leader into credible opinions. Leaders and untrustworthy opinion leaders; grouping users who go to the core group and other users according to the core group-combined indicator value table and other user-integrated indicator value tables. According to the method and the system, the core group mining result and the opinion leader identification result are fully utilized to realize user grading based on the event participation degree.

Description

technical field [0001] The present invention relates to the technical field of data mining and the field of social network analysis, and more specifically, to a grouping method and system based on core group mining and opinion leader identification results. Background technique [0002] Nowadays, Sina Weibo has a large number of active users and rich speeches, which makes social network analysis based on Sina Weibo data more and more important. It is precisely because of the surge in user participation that how to measure the degree of participation of many users and classify them has practical application significance for platform supervision and key event monitoring. In the existing research, whether it is mining the core group in the community grouping results or identifying opinion leaders in the communication network, there have been many related researches and improved methods. However, there are very few studies on the classification of participants in the communicat...

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Application Information

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IPC IPC(8): G06F16/2458G06F16/28G06Q50/00
Inventor 殷复莲刘晓薇邵雪莹吴佳乐王颜颜
Owner COMMUNICATION UNIVERSITY OF CHINA
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