Analyzing spammers' social networks for fun and profit: a case study of cyber criminal ecosystem on twitter

摘要: In this paper, we perform an empirical analysis of the cyber criminal ecosystem on Twitter. Essentially, through analyzing inner social relationships in account community, find that accounts tend to be socially connected, forming a small-world network. We also hubs, sitting center graph, are more inclined follow accounts. Through outer between and their friends outside reveal three categories have close friendships with these analyses, provide novel effective inference algorithm by exploiting accounts' semantic coordinations.