Analysis of Associtivity and Community Structure in Mobile Social Networks
| Autor: | Zhao Kang, Xiao-Kang Zhao, Wei Zheng |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Modularity (networks)
Social network Computer science business.industry Assortativity Distributed computing 010102 general mathematics Community structure Network partition Complex network computer.software_genre 01 natural sciences Clique percolation method Modularity Partition (database) 010101 applied mathematics General Earth and Planetary Sciences Data mining 0101 mathematics business computer General Environmental Science Network model |
| Zdroj: | Procedia Computer Science. 107:630-635 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.03.169 |
| Popis: | Community structure detection is crucial attracted in field of study complex network. People have find vast detection algorithmic of community structure of network. However, most of methods mainly used in single static state network. And less community partition method apply to multi-slice network. In this paper, we first according to the time sequence of mobile social networks construct multi-slice network model, then investigate assortativity of MSNs by analyzing the assortativity coefficient over time. In the next instalment, we detect community partition in mobile social networks(MSNs) by optimizing multi-slice modularity function, since The advantages of modularity optimizing is that without prior knowledge of the communities. By optimizing multi-slice modularity and succedent method of diagnostics on the result of network partition. It is thereby maybe to find topology information about community structure of time-dependent MSNs. |
| Databáze: | OpenAIRE |
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