Credibility Ranking Methods Analysis of Users in Social Network Based on Relation Graph
Xiang Cai, Weihong Han, Yan Jun Zhou, Wen-xiang HAN, ShuDong Li, Xiaobo Wu · 2017
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.