Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes

(1) , (1) , (1) , (2) , (1)
1
2

Abstract

Aiming at the problems of existing algorithms, such as instability, neglecting interaction between nodes and neglecting attributes of node, an overlapping community discovery algorithm combining topological potential and trust value of nodes was proposed. Firstly, the importance of nodes is calculated according to topological potential and the trust value of the node, and then K core nodes are selected. In final, the final division of communities are finished by using the extended modularity and core nodes. Experimental results on LFR network datasets and three real network datasets, verify the efficiency of the proposed OCDTT algorithm.
Fichier principal
Vignette du fichier
498234_1_En_15_Chapter.pdf (839.93 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03456963 , version 1 (30-11-2021)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Xiaohong Li, Weiying Kong, Weiyi Wei, Enli Fu, Huifang Ma. Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes. 11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.160-166, ⟨10.1007/978-3-030-46931-3_15⟩. ⟨hal-03456963⟩
6 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More