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Emotion interaction community detection method based on social network

A social network and detection method technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve the problems of not considering friendship and emotional communication networks, and low accuracy of community division, and achieve accurate community division. Effect

Pending Publication Date: 2021-03-05
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the existing methods, the friend relationship and emotional communication network are not considered, resulting in low accuracy of community division

Method used

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  • Emotion interaction community detection method based on social network
  • Emotion interaction community detection method based on social network
  • Emotion interaction community detection method based on social network

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Embodiment Construction

[0026] Certain terms are used, for example, in the description and claims to refer to particular components. Those skilled in the art should understand that hardware manufacturers may use different terms to refer to the same component. The specification and claims do not use the difference in name as a way to distinguish components, but use the difference in function of components as a criterion for distinguishing. As mentioned throughout the specification and claims, "comprising" is an open term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve technical problems within a certain error range and basically achieve technical effects.

[0027] In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be construed as indicating or implying relative importance.

[0028] In the invention, unless otherwise clearly specified and l...

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Abstract

The invention discloses an emotion interaction community detection method based on a social network, and the method comprises the steps: two topological edges, i.e., a friend relation and an emotion propagation network are effectively introduced, the relation between the two topological edges is comprehensively considered, and a spontaneous document and a forwarding document are divided reasonablyso as to enable the community division to be more precise; in addition, emotion propagation information is utilized, a probability graph model is combined with document content and emotion connectionin data, parameters of the model are optimized through a variational inference method, different communities are reasonably divided according to the emotion states of users for a specific event, andrepresentation of the obtained communities is more accurate.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and in particular relates to a community detection method based on social network emotional interaction. Background technique [0002] Nowadays, with the rapid development of Internet technology and applications, the online social network interaction platform organically connects the relationship between people or groups of people in the traditional human social network through the network. This type of online social network not only has information and information attributes In addition to the relationship between people, a prominent feature is the social relationship between people defined in a certain way and the participation and interaction of people. Intuitively, an online social network can be represented by a graph or network. A node in the graph or a vertex in the network represents an individual in the social network, and the edges between nodes or vertices represent the relati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536
CPCG06F16/9536
Inventor 金弟冯炳道焦鹏飞
Owner TIANJIN UNIV