{"id":"https://openalex.org/W2898114280","doi":"https://doi.org/10.1109/asonam.2018.8508688","title":"The Inclusion Measure for Community Evaluation and Detection in Unweighted Networks","display_name":"The Inclusion Measure for Community Evaluation and Detection in Unweighted Networks","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898114280","doi":"https://doi.org/10.1109/asonam.2018.8508688","mag":"2898114280"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044008415","display_name":"Nikolaos Koufos","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Koufos","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007939716","display_name":"Aristidis Likas","orcid":"https://orcid.org/0000-0003-3170-5428"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aristidis Likas","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18105091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1053","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9528999924659729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.704145610332489},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.687252938747406},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6840254068374634},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6766090393066406},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.6239673495292664},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6014307737350464},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5374489426612854},{"id":"https://openalex.org/keywords/inclusion","display_name":"Inclusion (mineral)","score":0.5246593952178955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.522947371006012},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5052083134651184},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44361573457717896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42567867040634155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.267654687166214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22436583042144775},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16756024956703186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704145610332489},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.687252938747406},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6840254068374634},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6766090393066406},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.6239673495292664},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6014307737350464},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5374489426612854},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.5246593952178955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.522947371006012},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5052083134651184},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44361573457717896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42567867040634155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.267654687166214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22436583042144775},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16756024956703186},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C107993555","wikidata":"https://www.wikidata.org/wiki/Q1662673","display_name":"Gender studies","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1971421925","https://openalex.org/W2095293504","https://openalex.org/W2109726592","https://openalex.org/W2128366083","https://openalex.org/W2131681506","https://openalex.org/W2165874743","https://openalex.org/W3099768174","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2349859869","https://openalex.org/W2362940594","https://openalex.org/W2153048426","https://openalex.org/W2079295974","https://openalex.org/W1681823257","https://openalex.org/W3114311606","https://openalex.org/W2889168673","https://openalex.org/W4321765920","https://openalex.org/W2613291114","https://openalex.org/W2898992240"],"abstract_inverted_index":{"One":[0],"of":[1,15,24,34,47,141,144],"the":[2,13,25,88,119,125,137,142],"most":[3],"interesting":[4],"problems":[5],"in":[6,69],"network":[7],"analysis":[8],"is":[9,56,67,122],"community":[10,27,71,132],"detection,":[11],"i.e.":[12],"partitioning":[14,46],"nodes":[16,23,33],"into":[17,53],"communities,":[18],"with":[19],"many":[20],"edges":[21,31],"connecting":[22,32],"same":[26],"and":[28,50,77],"comparatively":[29],"few":[30],"different":[35],"communities.":[36,145],"We":[37,81,101],"introduce":[38],"a":[39,45,84,95,106,138],"new":[40],"quality":[41,60],"measure":[42,61],"to":[43,98,124],"evaluate":[44],"an":[48],"undirected":[49],"unweighted":[51],"graph":[52],"communities":[54],"that":[55,86],"called":[57],"inclusion.":[58],"This":[59],"evaluates":[62],"how":[63],"well":[64],"each":[65,93],"node":[66,97],"included":[68],"its":[70,75,78],"by":[72,91,112],"considering":[73],"both":[74],"existent":[76],"non-existent":[79],"edges.":[80],"have":[82],"implemented":[83],"strategy":[85],"maximizes":[87],"inclusion":[89,104,120],"criterion":[90,107,121,129],"moving":[92],"time":[94],"single":[96],"another":[99],"community.":[100],"also":[102],"considered":[103],"as":[105],"for":[108],"evaluating":[109],"partitions":[110],"provided":[111],"spectral":[113],"clustering.":[114],"In":[115],"our":[116],"experimental":[117],"study,":[118],"compared":[123],"widely":[126],"used":[127],"modularity":[128],"providing":[130],"improved":[131],"detection":[133],"results":[134],"without":[135],"requiring":[136],"priori":[139],"specification":[140],"number":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}