{"id":"https://openalex.org/W4387016129","doi":"https://doi.org/10.1007/s11590-023-02054-0","title":"A maximal-clique-based set-covering approach to overlapping community detection","display_name":"A maximal-clique-based set-covering approach to overlapping community detection","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4387016129","doi":"https://doi.org/10.1007/s11590-023-02054-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11590-023-02054-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-023-02054-0","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optimization Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080014159","display_name":"Michael J. Brusco","orcid":"https://orcid.org/0000-0002-1465-6233"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael J. Brusco","raw_affiliation_strings":["Department of Business Analytics, Information Systems, and Supply Chain, Florida State University, Tallahassee, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-1465-6233","affiliations":[{"raw_affiliation_string":"Department of Business Analytics, Information Systems, and Supply Chain, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043805103","display_name":"Douglas Steinley","orcid":"https://orcid.org/0000-0001-9900-5028"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Steinley","raw_affiliation_strings":["Department of Psychological Sciences, University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001849766","display_name":"Ashley L. Watts","orcid":"https://orcid.org/0000-0002-8210-4748"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashley L. Watts","raw_affiliation_strings":["Department of Psychological Sciences, University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080014159"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.0853,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75668697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"6","first_page":"1491","last_page":"1510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clique-percolation-method","display_name":"Clique percolation method","score":0.887046217918396},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.8010984659194946},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.650337815284729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139890551567078},{"id":"https://openalex.org/keywords/percolation","display_name":"Percolation (cognitive psychology)","score":0.5996344089508057},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5925445556640625},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48407378792762756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41385120153427124},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4073856770992279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31674128770828247},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.29892027378082275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26569122076034546},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.23677277565002441}],"concepts":[{"id":"https://openalex.org/C128243737","wikidata":"https://www.wikidata.org/wiki/Q5134414","display_name":"Clique percolation method","level":3,"score":0.887046217918396},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.8010984659194946},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.650337815284729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139890551567078},{"id":"https://openalex.org/C2780457167","wikidata":"https://www.wikidata.org/wiki/Q17156484","display_name":"Percolation (cognitive psychology)","level":2,"score":0.5996344089508057},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5925445556640625},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48407378792762756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41385120153427124},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4073856770992279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31674128770828247},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.29892027378082275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26569122076034546},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.23677277565002441},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11590-023-02054-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-023-02054-0","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optimization Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1839921965","https://openalex.org/W1971421925","https://openalex.org/W1979578898","https://openalex.org/W1983345514","https://openalex.org/W1991408655","https://openalex.org/W2015530535","https://openalex.org/W2023318519","https://openalex.org/W2025543856","https://openalex.org/W2026250931","https://openalex.org/W2038933051","https://openalex.org/W2045387243","https://openalex.org/W2051477098","https://openalex.org/W2076193235","https://openalex.org/W2089458547","https://openalex.org/W2095293504","https://openalex.org/W2116007667","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2132555912","https://openalex.org/W2146659008","https://openalex.org/W2148781711","https://openalex.org/W2162896254","https://openalex.org/W2164928285","https://openalex.org/W2165533101","https://openalex.org/W2165813135","https://openalex.org/W2462099493","https://openalex.org/W2554748751","https://openalex.org/W2774076798","https://openalex.org/W2797618585","https://openalex.org/W2900770950","https://openalex.org/W2991337620","https://openalex.org/W3099768174","https://openalex.org/W3101599699","https://openalex.org/W3102641634","https://openalex.org/W3103232784","https://openalex.org/W4211250195","https://openalex.org/W4235169531","https://openalex.org/W4306725833","https://openalex.org/W4306940578"],"related_works":["https://openalex.org/W1973446888","https://openalex.org/W2946244341","https://openalex.org/W2891470306","https://openalex.org/W2033507223","https://openalex.org/W3103022363","https://openalex.org/W2902091245","https://openalex.org/W1983515019","https://openalex.org/W1969913143","https://openalex.org/W2976750928","https://openalex.org/W4281683109"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
