An Analysis of Rumor Propagation Based on Event Ambiguity

In this paper, a new rumor spreading model considering hesitating mechanism and the event ambiguity triggering rumors is proposed. On the basis of prior studies, we add a function reflecting the ambiguity of event to SEIR model. Then, several rumor spreading model simulations are conducted with different parameters on both random networks and BA networks. The simulation results indicate that a rumor spreads faster and more broadly when c is smaller. This shows that if events are ambiguous over a longer time, rumor spreading appears to be more effective. And rumor faster in a BA network than in a random network, but spreading scale on random network is bigger than that on BA network. Simulation results also show that the bigger transformation probability that lurkers become spreaders, the bigger the rumors influence, but the number of stifler is almost same when the spreading process terminate. In addition, the bigger forgetting rate, when other parameters are fixed, the smaller the peak value of spreader and the final size of the stiflers stifler.