Trust Evaluation of Users in Social Community Based on Virtual Identity Association Analysis

DOI

10.2991/assehr.k.201214.155How to use a DOI?

Keywords

Social network governance, trust evaluation, trust fusion, multi-platform virtual identity

Abstract

Effective network trust evaluation can promote the self-discipline of users’ information behavior. Due to the data source of traditional trust assessment is relatively single, the purpose of this study is to obtain the comprehensive performance of the same entity in different network communities to make a comprehensive evaluation of users’ trust. The work designed an association verification by integrating heterogeneous data and crawling Internet public information, and proposed a user trust evaluation model for social network users based on multi-community virtual identity trust fusion. The case shows the feasibility and effectiveness of the method, which is conducive to the online virtual identity verification and tracking, and promotes social behavior self-discipline.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianying Xiong
AU  - Juan Luo
PY  - 2020
DA  - 2020/12/16
TI  - Trust Evaluation of Users in Social Community Based on Virtual Identity Association Analysis
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 813
EP  - 818
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.155
DO  - 10.2991/assehr.k.201214.155
ID  - Xiong2020
ER  -