Hadoop Cellular Automata for Identifying Rumor in Social Networks

Abstract

Rumors are unavoidable in social networks and spreading through social networks. In this paper, we introduce three roles, which are rumor maker, accomplice and innocent, into social networks. Rumor makers are people who distribute rumors in social networks. In order to propagate rumor as more people as possible, rumor maker cannot achieve this goal without others' help. So that accomplices are people who help rumor maker spread rumors. Innocent are people who do not share help for rumors spreading. We introduce an extended cellular automata algorithm, i.e. Hadoop Cellular Automata (HCA), to simulate people's tweeting activity in social networks. We deploy our experiments on an open source platform, Hadoop. Our result shows that Hadoop Cellular Automata is a liner algorithm. Also HCA can simulate people's tweeting activity very well and can pick out rumors easily in social networks.