Null model and community structure in multiplex networks

Zhai, Xuemeng, Zhou, Wanlei, Fei, Gaolei, Liu, Weiyi, Xu, Zhoujun, Jiao, Chengbo, Lu, Cai and Hu, Guangmin 2018, Null model and community structure in multiplex networks, Scientific reports, vol. 8, no. 1, doi: 10.1038/s41598-018-21286-0.

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Title Null model and community structure in multiplex networks
Author(s) Zhai, Xuemeng
Zhou, WanleiORCID iD for Zhou, Wanlei
Fei, Gaolei
Liu, Weiyi
Xu, Zhoujun
Jiao, Chengbo
Lu, Cai
Hu, Guangmin
Journal name Scientific reports
Volume number 8
Issue number 1
Article ID 3245
Total pages 13
Publisher Nature Publishing
Place of publication London, Eng.
Publication date 2018-02-19
ISSN 2045-2322
Summary The multiple relationships among objects in complex systems can be described well by multiplex networks, which contain rich information of the connections between objects. The null model of networks, which can be used to quantify the specific nature of a network, is a powerful tool for analysing the structural characteristics of complex systems. However, the null model for multiplex networks remains largely unexplored. In this paper, we propose a null model for multiplex networks based on the node redundancy degree, which is a natural measure for describing the multiple relationships in multiplex networks. Based on this model, we define the modularity of multiplex networks to study the community structures in multiplex networks and demonstrate our theory in practice through community detection in four real-world networks. The results show that our model can reveal the community structures in multiplex networks and indicate that our null model is a useful approach for providing new insights into the specific nature of multiplex networks, which are difficult to quantify.
Language eng
DOI 10.1038/s41598-018-21286-0
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, The Authors
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