Research on the Anonymous Social Network Ecology
Wang Yongjing, Lin Zhiye · 2017
Anonymous social network has attracted ever-increasing attention from research community in recent years, however, it also brings some complications to ours daily life. We want to provide a reference for further regulation by addressing the problems in anonymous social network ecology. In this paper we focus our attention on summarizing the ecological status of anonymous social networks in a complete data-driven way. Specifically, we analyze text emotional tendencies, text themes and user characteristics of the anonymous networks by comparing and analyzing the data from anonymous social network application Secret and social network application Sina Weibo. And we find that the ecological status of the two applications are much different in some cases.