Correlation analysis of combined layers in multiplex networks based on entropy

The interactions between layers of a multiplex network would generate new structural features, the most prominent feature being the existence of link overlaps between layers. How to capture the associations with the network behavior through the structural interaction between the combined layers of t...

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Bibliographic Details
Published in:PloS one 2022-10, Vol.17 (10), p.e0276344-e0276344
Main Authors: Wang, Dan, Tian, Feng, Wei, Daijun
Format: Article
Language:English
Subjects:
Analysis
Biology and Life Sciences
Computer and Information Sciences
Correlation
Correlation analysis
Datasets
Engineering and Technology
Entropy
Entropy (Information theory)
Multiplexing
Network management systems
Network topologies
Physical Sciences
Research and Analysis Methods
Social networks
Social organization
Social Sciences
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Summary:The interactions between layers of a multiplex network would generate new structural features, the most prominent feature being the existence of link overlaps between layers. How to capture the associations with the network behavior through the structural interaction between the combined layers of the multiplex network is a critical issue. In this paper, a new structure entropy is proposed by combining the overlapping links between the combined layers of a multiplex network. The correlation between layers is evaluated by structure entropy, and the results are consistent with the behaviors exhibited by the network. In addition, the validity and applicability of the proposed method were verified by conducting trials on four sets of real multiplex network data, which included the multiplex social network of a research department at Aarhus, tailor shop multiplex network, C. elegans multiplex network, and the network collected by Vickers from 29 seventh grade students in a school in Victoria.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0276344