A Community Detection Strategy in Opportunity Network
ZiWen Liu, Jian Hao Zhou, Zhou Yanran · 2019
Due to the intermittent connection state between nodes, it is difficult to use the traditional community detection method in the opportunistic network. In order to identify community more accurately, an opportunity network community detection strategy for expansion through scattered nodes is proposed. This strategy is based on two major characteristics of the community: cohesiveness within the community and dispersiveness between communities. The dispersiveness is highlighted when the pioneering nodes (called seed- nodes) of thecommunity are selected, and the stage of expanding the community through the seed-nodes highlights the cohesiveness within the community, which allows these two characteristics to continue until the end of the expansion. Finally, the simulation results from the ONE show that this strategy can detect the community more effectively than existing methods do.