Analysis of Rumor Spreading with a Temporal Control Strategy in Multiplex Networks

In this paper, a temporal control strategy is proposed by analyzing a rumor spreading model based on microscopic Markov chain in a two-layer network. The obtained results show that both sub-networks can show synchronized outbreak, where the maximum fractions of the infected population simultaneously emerge when a vigorous control measure is taken. In addition, the control effect depends on the selection of the network topological degree, the target layer, and the control time. The later (earlier) control or larger (smaller) network topological degree needs more (less) resource. The control effect is better when the target layer is chosen at a larger network topological degree. These results imply that the temporal control strategy is effective in preventing rumor spreading.