{"id":"https://openalex.org/W7131414212","doi":"https://doi.org/10.1109/icdm65498.2025.00036","title":"Modularity-Fair Deep Community Detection","display_name":"Modularity-Fair Deep Community Detection","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7131414212","doi":"https://doi.org/10.1109/icdm65498.2025.00036"},"language":null,"primary_location":{"id":"doi:10.1109/icdm65498.2025.00036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","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/A5126778100","display_name":"Christos Gkartzios","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":"Christos Gkartzios","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047515620","display_name":"Evaggelia Pitoura","orcid":"https://orcid.org/0000-0002-3775-4995"},"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":"Evaggelia Pitoura","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066962453","display_name":"Panayiotis Tsaparas","orcid":"https://orcid.org/0000-0002-3490-1507"},"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":"Panayiotis Tsaparas","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,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":0,"citation_normalized_percentile":{"value":0.74115806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"287","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.21279999613761902,"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":0.21279999613761902,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.06279999762773514,"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":0.05550000071525574,"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/modularity","display_name":"Modularity (biology)","score":0.8398000001907349},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5472000241279602},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5063999891281128},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4948999881744385},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3598000109195709},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.34049999713897705}],"concepts":[{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.8398000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745199978351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008999943733215},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41179999709129333},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdm65498.2025.00036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41909217834472656,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1774848501","https://openalex.org/W1992419399","https://openalex.org/W2015953751","https://openalex.org/W2047940964","https://openalex.org/W2089458547","https://openalex.org/W2100960835","https://openalex.org/W2102907934","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2132914434","https://openalex.org/W2134370969","https://openalex.org/W2809878087","https://openalex.org/W2897249806","https://openalex.org/W2997837569","https://openalex.org/W3036413271","https://openalex.org/W3080365325","https://openalex.org/W3135038576","https://openalex.org/W3142588439","https://openalex.org/W3155357629","https://openalex.org/W3181414820","https://openalex.org/W3205761523","https://openalex.org/W4224310737","https://openalex.org/W4224322513","https://openalex.org/W4300601563","https://openalex.org/W4318148199","https://openalex.org/W4362714312","https://openalex.org/W4392846029","https://openalex.org/W4393224518","https://openalex.org/W4395098235","https://openalex.org/W4396759072","https://openalex.org/W4410089369"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"meaningful":[1],"communities":[2,21],"in":[3],"networks":[4,132],"is":[5,71],"essential":[6],"for":[7],"understanding":[8],"complex":[9],"social,":[10],"biological,":[11],"and":[12,26,84,98,108,130],"information":[13,116],"systems.":[14],"Modularity":[15],"effectively":[16],"captures":[17],"the":[18,24,38,46,66,78,118],"quality":[19],"of":[20,40,43,77,121],"by":[22,55],"comparing":[23],"observed":[25],"expected":[27],"edge":[28],"densities,":[29],"but":[30],"it":[31],"often":[32],"overlooks":[33],"fairness":[34,141],"with":[35],"regards":[36],"to":[37],"connectivity":[39,64,140],"different":[41],"groups":[42],"nodes":[44],"within":[45],"communities.":[47],"In":[48],"this":[49,53],"work,":[50],"we":[51],"address":[52],"limitation":[54],"proposing":[56],"fairness-aware":[57,114],"community":[58,123,144],"detection":[59,124],"algorithms":[60,101,136],"that":[61,81,102,134],"incorporate":[62],"group-sensitive":[63],"into":[65,117],"modularity":[67,79],"framework.":[68],"Our":[69,126],"approach":[70],"based":[72],"on":[73,105,128],"optimizing":[74],"distinct":[75],"sub-matrices":[76],"matrix":[80],"isolate":[82],"intra-group":[83],"inter-group":[85],"connections.":[86],"We":[87],"introduce":[88],"two":[89],"algorithmic":[90],"families:":[91],"(a)":[92],"Input-based":[93],"methods,":[94,111],"including":[95],"fair":[96],"spectral":[97],"deep":[99,122],"learning":[100,119],"directly":[103],"operate":[104],"these":[106],"sub-matrices;":[107],"(b)":[109],"Loss-based":[110],"which":[112],"integrate":[113],"sub-matrix":[115],"objective":[120],"models.":[125],"experiments":[127],"synthetic":[129],"real-world":[131],"demonstrate":[133],"our":[135],"significantly":[137],"improve":[138],"group":[139],"without":[142],"compromising":[143],"quality.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-26T00:00:00"}
