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Physica A Statistical Mechanics and its Applications
Article . 2019 . Peer-reviewed
License: Elsevier TDM
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Article . 2019
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https://dx.doi.org/10.1016/j.p...
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Inverse modelling-based multi-objective evolutionary algorithm with decomposition for community detection in complex networks

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2019 English Publisher:Elsevier BVJournal:Physica A: Statistical Mechanics and its Applications, volume 513, pages 662-674 (issn: 0378-4371, Copyright policy )
Authors: Zou, Feng; Chen, Debao; Huang, De-Shuang; Lu, Renquan; Wang, Xude;

doi: 10.1016/j.physa.2018.08.077

Inverse modelling-based multi-objective evolutionary algorithm with decomposition for community detection in complex networks

Abstract

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Keywords

decomposition, multi-objective optimization, Deterministic network models in operations research, community detection, inverse modelling, discrete, Multi-objective and goal programming, Social networks; opinion dynamics

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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