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Discovering the maximum k-clique on social networks using bat optimization algorithm

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Bibliographic Details
Published in:Computational Social Networks
Format: Online Article RSS Article
Published: 2021
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container_title Computational Social Networks
description
discipline_display Social Sciences
discipline_facet Social Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:22335
institution FRELIP
journal_source_facet Computational Social Networks
publishDate 2021
publishDateSort 2021
record_format rss_article
spellingShingle Discovering the maximum k-clique on social networks using bat optimization algorithm
— — — — — Social Web
Psychology
Social Sciences
sub_discipline_display Psychology
sub_discipline_facet Psychology
subject_display — — — — — Social Web
Psychology
Social Sciences
— — — — — Social Web
Psychology
Social Sciences
subject_facet — — — — — Social Web
Psychology
Social Sciences
title Discovering the maximum k-clique on social networks using bat optimization algorithm
title_auth Discovering the maximum k-clique on social networks using bat optimization algorithm
title_full Discovering the maximum k-clique on social networks using bat optimization algorithm
title_fullStr Discovering the maximum k-clique on social networks using bat optimization algorithm
title_full_unstemmed Discovering the maximum k-clique on social networks using bat optimization algorithm
title_short Discovering the maximum k-clique on social networks using bat optimization algorithm
title_sort discovering the maximum k-clique on social networks using bat optimization algorithm
topic — — — — — Social Web
Psychology
Social Sciences
url https://link.springer.com/article/10.1186/s40649-021-00087-y