Community Detection in Opportunistic Networks Based on Hierarchical Mapping
Gang Xu, Xinyue Wang, Yujie Shi, Xiaolin Guo, Ying Guo, Xiaodong Guo · 2019
In order to solve the problem that the community partition results are not reusable in the information sensitive opportunity network, a hierarchical model of opportunity network is proposed. First, the physical node set of the opportunity network is mapped to the virtual node set corresponding to the message type, and the virtual opportunity network layer is established on this basis. Then, at the virtual opportunity network layer, social relations are established for the virtual node set. Finally, the social relations of virtual node sets are processed for community division. The experiment shows that the opportunity network hierarchical model under the unsteady topology condition is very effective.