Credibility Ranking Methods Analysis of Users in Social Network Based on Relation Graph

DOI

10.2991/icmmct-17.2017.231How to use a DOI?

Keywords

Credibility; Ranking Methods; Social Network; Relation Graph

Abstract

The increasing proliferation of social media results in users are forced to ascertain the truthfulness of information that they encounter from unknown sources using a variety of indicators. In this paper, we propose a novel method to rank credibility of users in microblog social network. Microblog social network site provides lots of functions, like sharing, organizing and finding content and contacts. We build a weighted user relation graph model and design a relation graph based ranking algorithm, called Relation Graph Credibility Ranking (RGCR) algorithm, which can be applied to analyse user's credibility by their relationship. We perform experiments on three datasets, they are "The Continent", "Sangfor Tournament" and "Sina Campaign" crawled by API from the Sina microblog open platform. The experimental results show that our proposed method works well to analyse credibility of users in microblog social network.

Copyright

© 2017, 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  - Xiang Cai
AU  - Weihong Han
AU  - Yan Zhou
AU  - Wenxiang Han
AU  - ShuDong Li
AU  - Xiaobo Wu
PY  - 2017/04
DA  - 2017/04
TI  - Credibility Ranking Methods Analysis of Users in Social Network Based on Relation Graph
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1177
EP  - 1182
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.231
DO  - 10.2991/icmmct-17.2017.231
ID  - Cai2017/04
ER  -