Rumor Source Identification in Social Network with Time-Varying Topology

Abstract

Identifying rumor source in social networks place a critical role in limiting the damage caused by them through the timely isolation of the source. The trouble of rumor source identification in time- varying social networks that can be minimized to a series of static networks by introducing a time-integrating window. First, reduce the time-varying networks to a series of static networks by introducing a time integrating window. Second, rather than of inspecting every individual in traditional techniques, adopt a reverse dissemination strategy to specify a set of suspects of the real rumor source. The Third is to determine the real source from the suspects. Information that spread through social networks can carry a lot of false claims.