Identification of complex network topologies through delayed mutual information

The definitions of delayed mutual information and multi-information are recalled. It is shown how the delayed mutual information may be used to reconstruct the interaction topology resulting from some unknown scale-free graph with its associated local dynamics. Delayed mutual information is also use...

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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 53; no. 2; pp. 1019 - 1024
Main Authors Toupance, Pierre-Alain, Chopard, Bastien, Lefevre, Laurent
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2020
Subjects
adjacency matrix identification
community reconstruction
complex systems
information theory
interaction topology
probabilistic models
voter model
voter model
complex systems
interaction topology
adjacency matrix identification
information theory
probabilistic models
community reconstruction
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Summary:The definitions of delayed mutual information and multi-information are recalled. It is shown how the delayed mutual information may be used to reconstruct the interaction topology resulting from some unknown scale-free graph with its associated local dynamics. Delayed mutual information is also used to solve the community detection problem. A probabilistic voter model defined on a scale-free graph is used throughout the paper as an illustrative example.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2020.12.1282