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Multi-objective optimization for community detection in multilayer networksJiang, Shihong ...Community detection in multilayer networks plays a key role in revealing the multiple aspects of information spreading and in comprehending the relationships and interactions within and between each ... layer. However, most existing algorithms are prone to local optimality, and they are also difficult to extend to high-dimensional networks. To address these challenges, we propose here a multi-objective algorithm for community detection that is based on the genetic algorithm. In particular, the modularity is introduced to optimize each network layer iteratively, and the local search is combined with genetic operations to overcome local optimality. Comparative benchmarks with other algorithms on artificial and real-world networks show that the proposed algorithm performs better, especially on high-dimensional networks.Source: Europhysics letters : EPL. - ISSN 0295-5075 (Vol. 135, no. 1, Sep. 2021, str. 18001-p1-18001-p7)Type of material - article, component part ; adult, seriousPublish date - 2021Language - englishCOBISS.SI-ID - 76426499
Author
Jiang, Shihong |
Liu, Xianghua |
Chen, Xuejiao |
Wang, Zhen, fizika |
Perc, Matjaž |
Gao, Chao
Topics
večplastno omrežje |
skupnost |
omrežna znanost |
optimizacija |
fizika družbe |
multilayer network |
community |
network science |
optimization |
social physics
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source: Europhysics letters : EPL. - ISSN 0295-5075 (Vol. 135, no. 1, Sep. 2021, str. 18001-p1-18001-p7)
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Jiang, Shihong | ![]() |
Liu, Xianghua | ![]() |
Chen, Xuejiao | ![]() |
Wang, Zhen, fizika | ![]() |
Perc, Matjaž | 23428 |
Gao, Chao | ![]() |
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