20.500.12556/DKUM-87009-fa25f5ad-6451-8c91-95cd-ad7a80a9e9bc Density-based entropy centrality for community detection in complex networks One 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. networks undirected graphs community detection node centrality label propagation omrežja neusmerjeni grafi zaznavanje skupnosti centralnost vozlišč širjenje oznak true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/entropy Članek v reviji 2024-02-06 14:20:22 2024-02-06 14:27:30 2024-05-22 09:29:16 0000-00-00 00:00:00 2023 0 0 Str. 17 Št. 8, št. članka 1196 Letn. 25 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-06-08 2023-08-02 2023-08-11 004 162692099 10.3390/e25081196 1099-4300 Zalik-2023-Density-Based_Entropy_Centrality_fo.pdf Zalik-2023-Density-Based_Entropy_Centrality_fo.pdf 1 185CB0686E379FF05F6E5E267A67C14A f4801d33ff50bcfa143f8c1d443940e3297b442c35aaea66c8178518a4bb7413 596023c1-c4f3-11ee-b2aa-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=175963 https://www.mdpi.com/1099-4300/25/8/1196 0 66c60410-c4f3-11ee-b2aa-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=175964 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0