{"id":"https://openalex.org/W132148631","doi":"https://doi.org/10.1007/978-3-642-41033-8_85","title":"Efficient Solution of the Correlation Clustering Problem: An Application to Structural Balance","display_name":"Efficient Solution of the Correlation Clustering Problem: An Application to Structural Balance","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W132148631","doi":"https://doi.org/10.1007/978-3-642-41033-8_85","mag":"132148631"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-41033-8_85","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-41033-8_85","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5071494175","display_name":"L\u00facia M. A. Drummond","orcid":"https://orcid.org/0000-0002-3831-5230"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"L\u00facia Drummond","raw_affiliation_strings":["Department of Computer Science, Fluminense Federal University, 24210-240, Niter\u00f3i, RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Fluminense Federal University, 24210-240, Niter\u00f3i, RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078605754","display_name":"Rosa Figueiredo","orcid":"https://orcid.org/0000-0002-0344-2686"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rosa Figueiredo","raw_affiliation_strings":["CIDMA, Department of Mathematics, University of Aveiro, 3810-193, Aveiro, Portugal"],"affiliations":[{"raw_affiliation_string":"CIDMA, Department of Mathematics, University of Aveiro, 3810-193, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013207221","display_name":"Yuri Frota","orcid":"https://orcid.org/0000-0002-3434-3074"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yuri Frota","raw_affiliation_strings":["Department of Computer Science, Fluminense Federal University, 24210-240, Niter\u00f3i, RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Fluminense Federal University, 24210-240, Niter\u00f3i, RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004764548","display_name":"M\u00e1rio Levorato","orcid":"https://orcid.org/0000-0002-0095-0319"},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rio Levorato","raw_affiliation_strings":["Petr\u00f3leo Brasileiro S.A., Brazil"],"affiliations":[{"raw_affiliation_string":"Petr\u00f3leo Brasileiro S.A., Brazil","institution_ids":["https://openalex.org/I32393484"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071494175"],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.1069,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93809722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"674","last_page":"683"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9919999837875366,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.8955882787704468},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7421653866767883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5715961456298828},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.568697452545166},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49606212973594666},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4915085732936859},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.47513797879219055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.308139443397522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2759910225868225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26115864515304565},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0795830488204956}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8955882787704468},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7421653866767883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715961456298828},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.568697452545166},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49606212973594666},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4915085732936859},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.47513797879219055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.308139443397522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2759910225868225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26115864515304565},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0795830488204956},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-41033-8_85","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-41033-8_85","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1591219176","https://openalex.org/W1820259117","https://openalex.org/W1974418688","https://openalex.org/W1977935426","https://openalex.org/W1985875030","https://openalex.org/W1994941014","https://openalex.org/W2001174878","https://openalex.org/W2004147977","https://openalex.org/W2014381197","https://openalex.org/W2030737920","https://openalex.org/W2043532570","https://openalex.org/W2048044409","https://openalex.org/W2053081145","https://openalex.org/W2068396411","https://openalex.org/W2070882870","https://openalex.org/W2078118522","https://openalex.org/W2079641336","https://openalex.org/W2097216034","https://openalex.org/W2102664282","https://openalex.org/W2105951053","https://openalex.org/W2112461976","https://openalex.org/W2114051435","https://openalex.org/W2122873982","https://openalex.org/W2128269848","https://openalex.org/W2142517301","https://openalex.org/W2162802226","https://openalex.org/W2171610853","https://openalex.org/W2295665070","https://openalex.org/W3124112654","https://openalex.org/W4298299405"],"related_works":["https://openalex.org/W2390427321","https://openalex.org/W2670495008","https://openalex.org/W2325294845","https://openalex.org/W2043066056","https://openalex.org/W4321020372","https://openalex.org/W2358885528","https://openalex.org/W1025905381","https://openalex.org/W2147666316","https://openalex.org/W2464498505","https://openalex.org/W2008766101"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}