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Density-based entropy centrality for community detection in complex networks [Elektronski vir]Rizman Žalik, Krista ; Žalik, MitjaOne of the most important problems in complex networks is the location of nodes that are essential or play a main role in the network. Nodes with main local roles are the centers of real communities. ... Communities are sets of nodes of complex networks and are densely connected internally. Choosing the right nodes as seeds of the communities is crucial in determining real communities. We propose a new centrality measure named density-based entropy centrality for the local identification of the most important nodes. It measures the entropy of the sum of the sizes of the maximal cliques to which each node and its neighbor nodes belong. The proposed centrality is a local measure for explaining the local influence of each node, which provides an efficient way to locally identify the most important nodes and for community detection because communities are local structures. It can be computed independently for individual vertices, for large networks, and for not well-specified networks. The use of the proposed density-based entropy centrality for community seed selection and community detection outperforms other centrality measures.Source: Entropy [Elektronski vir]. - ISSN 1099-4300 (Vol. 25, iss. 8, [art. no.] 1196, 2023, 17 str.)Type of material - e-article ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 162692099
Author
Rizman Žalik, Krista |
Žalik, Mitja
Topics
networks |
undirected graphs |
community detection |
node centrality |
label propagation
Author | Rizman Žalik, Krista ; Žalik, Mitja |
Title | Density-based entropy centrality for community detection in complex networks [Elektronski vir] |
Publication date | 2023-08-11 |
COBISS.SI-ID | 162692099 |
Publication version in repository | Publisher's version |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Immediate publication for public |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
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Računalniški sistemi, metodologije in inteligentne storitve | P2-0041-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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https://dk.um.si/IzpisGradiva.php?id=87009 |
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Rizman Žalik, Krista | 08638 |
Žalik, Mitja | 57410 |
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