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Community Detection in Opportunistic Networks Based on Hierarchical Mapping

Authors :
Ying Guo
Xiaodong Guo
Gang Xu
Xinyue Wang
Shi Yujie
Xiaolin Guo
Source :
CSCWD
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Accession number :
edsair.doi...........46f3e66eda7e5a55291a9ebe41eb7a36
Full Text :
https://doi.org/10.1109/cscwd.2019.8791873