Abstract

The nodes with large degree exhibit a powerful information spreading capability in networks. It is always obvious that the popularity nodes can spread the information to more people in opportunistic networks. Many researchers try to speed up the spreading velocity by the popularity nodes. In this paper the information spreading dynamics in opportunistic networks is investigated. It is found that when the number of the network nodes is large enough, the convergence time will be approaching no matter which node first initiated the message propagation. But when the node number of the networks is small in opportunistic networks, the convergence time varies greatly when the messages are initiated by nodes with different node degree. The theory proof and the simulation results are given in this paper.

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