Heterogeneous social network user anchor link identification method based on meta-paths

A social network and recognition method technology, applied in the field of meta-path-based heterogeneous social network user anchor link recognition, can solve the problem that there is no relatively novel and effective method

Active Publication Date: 2020-07-31
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

How to extend the meta-path technology to the social network, and at the same time use the user's link relationshi

Method used

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  • Heterogeneous social network user anchor link identification method based on meta-paths
  • Heterogeneous social network user anchor link identification method based on meta-paths
  • Heterogeneous social network user anchor link identification method based on meta-paths

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] figure 1 Represents the structural model diagram of a heterogeneous social network. The content in the circle represents the different entities that constitute the heterogeneous social network, respectively: U represents the user, L represents the location, T represents the time stamp, and C represents the text. The direction lines with arrows between the circles represent the relationship between different entities, which are represented as the follow relationship between users, the edit relationship between users and text, the publish relationship between text and timestamp, and the relationship between text and words. include relationship, label1 relationship between text and position. Since users are entities with subjective initiative, they can generate links with other entities through network social activities. figure 2 A schematic diagram showing the ...

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Abstract

The invention belongs to the technical field of social network entity anchor link identification, and particularly relates to a heterogeneous social network user anchor link identification method based on meta-paths. In view of a scene of multi-entities, complex link relations and a small number of label entities in a heterogeneous social network, the problems of non-uniform data distribution, feature selection and the like are avoided based on unsupervised learning, and the link relationship related to a user is fully mined by utilizing the link relationship and attribute information of the user entity in the social network and adopting a meta-path technology. By means of definitions of a cost function, a matrix norm, an objective function and the like, a user anchor link identification problem is converted into a problem of optimizing an objective function.

Description

technical field [0001] The invention belongs to the technical field of social network entity anchor link identification, and in particular relates to a meta-path-based method for identifying anchor links of heterogeneous social network users. Background technique [0002] Since the 21st century, Internet technology has developed rapidly, and more and more people can become participants in social networks. According to statistics, by 2019, the number of users in the global social networking industry has reached 2.82 billion, accounting for 70.4% of the total number of Internet users. In foreign countries, people usually use Twitter and Facebook to communicate; in China, people like to use Weibo to browse all kinds of hot news, and use QQ and WeChat to conduct real-time communication activities based on friends. Online social networks originate from various daily exchanges between people, and are snapshots of real-world activities mapped to the network. The same user often pa...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/9537G06Q50/00G06N3/08
CPCG06F16/9536G06F16/9537G06Q50/01G06N3/088
Inventor 杨武王巍玄世昌苘大鹏吕继光刘娟
Owner HARBIN ENG UNIV
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