Identification of rumour sources in a network plays a critical role in limiting the damage caused by them through the timely quarantine of the sources. However, the temporal variation in the topology of networks and the ongoing dynamic processes challenge our traditional source identification techniques that are considered in static networks. Reduction of the time-varying networks is defined by an ordered stream of interactions between individual node. And then instead of inspecting every individual in traditional techniques, we adopt a reverse dissemination strategy to specify a set of suspects of the real rumor source. The node from which all the path covering all the observed nodes. In this process gives near to the rumour but not giving exact rumour in the network. To determine the exact real source a microscopic rumour spreading method is used. The results further indicate that our method can accurately identify the real source, or an individual who is very close to the real source. To the best of our knowledge, the proposed method is the first that can be used to identify rumor sources in time-varying network.
Network, Source estimation, Data count, Novel source, Reverse process
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