CSE: A Content Spreading Efficiency Based Influential Nodes Selection Method in 5G Mobile Social Networks

Mobile Social Network (MSN) is attracting the attention of many researchers so as to leverage cellular links by offloading the mobile traffic load via device-to-device communications. Therefore, applying an effective algorithm to identify influential spreaders in MSN is playing a key role. In this paper, a Content Spreading Efficiency (CSE) algorithm, which considers the degree and the number of contact times of a node with its neighbors and the neighbors' friends, is proposed. Also, it considers the nodes' topological position to determine the efficiency of the node to spread content in the network. The performance of CSE strategy is evaluated by Susceptible Infected-Recovered (SIR) model. The results demonstrate the effectiveness of CSE strategy to select important nodes to spread content in MSNs.