{"id":"https://openalex.org/W2973087688","doi":"https://doi.org/10.1109/tnnls.2019.2933850","title":"Homophily Preserving Community Detection","display_name":"Homophily Preserving Community Detection","publication_year":2019,"publication_date":"2019-09-10","ids":{"openalex":"https://openalex.org/W2973087688","doi":"https://doi.org/10.1109/tnnls.2019.2933850","mag":"2973087688","pmid":"https://pubmed.ncbi.nlm.nih.gov/31502990"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2933850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2933850","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5078520300","display_name":"Fanghua Ye","orcid":"https://orcid.org/0009-0003-7861-3894"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanghua Ye","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429133","display_name":"Chuan Chen","orcid":"https://orcid.org/0000-0002-7048-3445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Chen","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022081685","display_name":"Zhiyuan Wen","orcid":"https://orcid.org/0000-0001-5644-5023"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiyuan Wen","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066482792","display_name":"Wuhui Chen","orcid":"https://orcid.org/0000-0003-4430-7904"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuhui Chen","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056123187","display_name":"Yuren Zhou","orcid":"https://orcid.org/0000-0002-0497-0835"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuren Zhou","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078520300"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.7952,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.91053928,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":"8","first_page":"2903","last_page":"2915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.940500020980835,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9315999746322632,"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/homophily","display_name":"Homophily","score":0.9927217364311218},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.742477536201477},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7295385599136353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865646243095398},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.686120331287384},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.518775463104248},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5071368217468262},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4367297291755676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43187034130096436},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42185232043266296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.393847793340683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3023918867111206},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.2830502688884735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2303783893585205},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1765022873878479},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09615832567214966}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.9927217364311218},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.742477536201477},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7295385599136353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865646243095398},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.686120331287384},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.518775463104248},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5071368217468262},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4367297291755676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43187034130096436},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42185232043266296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.393847793340683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3023918867111206},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2830502688884735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2303783893585205},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1765022873878479},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09615832567214966},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2933850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2933850","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31502990","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31502990","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5099999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3633703093","display_name":null,"funder_award_id":"2018A030310076","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3683886640","display_name":null,"funder_award_id":"2016YFB1000101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G751991303","display_name":null,"funder_award_id":"11801595","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8199004219","display_name":null,"funder_award_id":"61722214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W20696413","https://openalex.org/W143174683","https://openalex.org/W1863793842","https://openalex.org/W1884347414","https://openalex.org/W1968656203","https://openalex.org/W1971421925","https://openalex.org/W1977556410","https://openalex.org/W2012921801","https://openalex.org/W2015953751","https://openalex.org/W2023655578","https://openalex.org/W2032387206","https://openalex.org/W2033590892","https://openalex.org/W2050680319","https://openalex.org/W2063929853","https://openalex.org/W2073835183","https://openalex.org/W2089468765","https://openalex.org/W2111002549","https://openalex.org/W2119571791","https://openalex.org/W2121947440","https://openalex.org/W2125050594","https://openalex.org/W2128366083","https://openalex.org/W2130354913","https://openalex.org/W2132202037","https://openalex.org/W2135029798","https://openalex.org/W2151936673","https://openalex.org/W2154455818","https://openalex.org/W2164998314","https://openalex.org/W2294347342","https://openalex.org/W2296319761","https://openalex.org/W2342866759","https://openalex.org/W2435477720","https://openalex.org/W2557489574","https://openalex.org/W2571268788","https://openalex.org/W2580917121","https://openalex.org/W2603624290","https://openalex.org/W2604942799","https://openalex.org/W2724933410","https://openalex.org/W2735638351","https://openalex.org/W2755088640","https://openalex.org/W2765139531","https://openalex.org/W2767834929","https://openalex.org/W2788730644","https://openalex.org/W2793868694","https://openalex.org/W2801760733","https://openalex.org/W2804454015","https://openalex.org/W2808122494","https://openalex.org/W2895339336","https://openalex.org/W2897979119","https://openalex.org/W2908512637","https://openalex.org/W2963455014","https://openalex.org/W3046265042","https://openalex.org/W3102647957","https://openalex.org/W4250589301","https://openalex.org/W6600811662","https://openalex.org/W6680012447","https://openalex.org/W6682494755","https://openalex.org/W6697195335","https://openalex.org/W6718044918","https://openalex.org/W6736262870","https://openalex.org/W6748243170","https://openalex.org/W6751564879"],"related_works":["https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W3119171992","https://openalex.org/W2011190096","https://openalex.org/W2902086760","https://openalex.org/W2046354615"],"abstract_inverted_index":{"As":[0,95],"a":[1,67],"fundamental":[2],"problem":[3],"in":[4],"social":[5],"network":[6],"analysis,":[7],"community":[8,21,69,107],"detection":[9,22,70],"has":[10,156],"recently":[11],"attracted":[12],"wide":[13],"attention,":[14],"accompanied":[15],"by":[16,30],"the":[17,54,103,125,142,151,161],"output":[18],"of":[19,56,93,106],"numerous":[20],"methods.":[23,164],"However,":[24],"most":[25],"existing":[26],"methods":[27],"are":[28,148],"developed":[29],"only":[31,86],"exploiting":[32],"link":[33,87],"topology,":[34],"without":[35],"taking":[36],"node":[37,40,91,113],"homophily":[38,79,92,114],"(i.e.,":[39],"similarity)":[41],"into":[42],"consideration.":[43],"Thus,":[44],"much":[45],"useful":[46],"information":[47],"that":[48,122,154],"can":[49],"be":[50],"utilized":[51],"to":[52,100,111,140,159],"improve":[53],"quality":[55],"detected":[57],"communities":[58],"is":[59,98],"ignored.":[60],"To":[61],"overcome":[62],"this":[63],"limitation,":[64],"we":[65,117],"propose":[66],"new":[68],"approach":[71],"based":[72],"on":[73],"nonnegative":[74],"matrix":[75],"factorization":[76],"(NMF),":[77],"namely,":[78],"preserving":[80],"NMF":[81],"(HPNMF),":[82],"which":[83],"models":[84],"not":[85],"topology":[88],"but":[89],"also":[90],"networks.":[94],"such,":[96],"HPNMF":[97,155],"able":[99],"better":[101],"reflect":[102],"inherent":[104],"properties":[105],"structure.":[108],"In":[109],"order":[110],"capture":[112],"from":[115],"scratch,":[116],"provide":[118],"three":[119],"similarity":[120],"measurements":[121],"naturally":[123],"reveal":[124],"association":[126],"relationships":[127],"between":[128],"nodes.":[129],"We":[130],"further":[131],"present":[132],"an":[133],"efficient":[134],"learning":[135],"algorithm":[136],"with":[137],"convergence":[138],"guarantee":[139],"solve":[141],"proposed":[143],"model.":[144],"Finally,":[145],"extensive":[146],"experiments":[147],"conducted,":[149],"and":[150],"results":[152],"demonstrate":[153],"strong":[157],"ability":[158],"outperform":[160],"state-of-the-art":[162],"baseline":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
