{"id":"https://openalex.org/W2898417771","doi":"https://doi.org/10.1109/asonam.2018.8508796","title":"A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection","display_name":"A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898417771","doi":"https://doi.org/10.1109/asonam.2018.8508796","mag":"2898417771"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508796","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/A5070400843","display_name":"Dany Kamuhanda","orcid":"https://orcid.org/0000-0002-2904-2349"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dany Kamuhanda","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, School of Computer Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, School of Computer Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033526822","display_name":"Kun He","orcid":"https://orcid.org/0000-0001-7627-4604"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun He","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, School of Computer Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, School of Computer Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":3.7355,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94718214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"642","last_page":"649"},"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":0.9908999800682068,"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":0.9771999716758728,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8821040391921997},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6726066470146179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5536348819732666},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5069570541381836},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.47642359137535095},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4669934809207916},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44135016202926636},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43403369188308716},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43346524238586426},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4281645119190216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38026371598243713},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3060385286808014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30329957604408264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3006739914417267}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8821040391921997},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6726066470146179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5536348819732666},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5069570541381836},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.47642359137535095},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4669934809207916},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44135016202926636},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43403369188308716},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43346524238586426},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4281645119190216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38026371598243713},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3060385286808014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30329957604408264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3006739914417267},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508796","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":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317483","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W142212369","https://openalex.org/W1514107797","https://openalex.org/W1735484586","https://openalex.org/W1902027874","https://openalex.org/W1978291048","https://openalex.org/W2004049668","https://openalex.org/W2016273060","https://openalex.org/W2023655578","https://openalex.org/W2068015060","https://openalex.org/W2094234423","https://openalex.org/W2095072199","https://openalex.org/W2112173569","https://openalex.org/W2119571791","https://openalex.org/W2121020155","https://openalex.org/W2124172487","https://openalex.org/W2135029798","https://openalex.org/W2144359569","https://openalex.org/W2276397252","https://openalex.org/W2289573094","https://openalex.org/W2538006960","https://openalex.org/W2557489574","https://openalex.org/W2587005729","https://openalex.org/W2598008223","https://openalex.org/W2620315948","https://openalex.org/W2755088640","https://openalex.org/W2951271819","https://openalex.org/W2964129681","https://openalex.org/W3101413764","https://openalex.org/W3126033509","https://openalex.org/W4213009331","https://openalex.org/W6630727257","https://openalex.org/W6676717117","https://openalex.org/W6694468132","https://openalex.org/W6696697387","https://openalex.org/W6733417236","https://openalex.org/W6744271739"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W4213150077","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031"],"abstract_inverted_index":{"Existing":[0],"works":[1],"on":[2,10,92,102,155],"local":[3,36,49,172],"community":[4,14,37,134,173],"detection":[5,38,135,174],"in":[6,57],"social":[7],"networks":[8,157],"focus":[9],"finding":[11,47],"one":[12],"single":[13,53],"a":[15,30,41,52,79],"few":[16],"seed":[17,54,69],"members":[18],"are":[19],"most":[20],"likely":[21],"to":[22,82,88,110,145,148],"be":[23],"in.":[24],"In":[25],"this":[26],"work,":[27],"we":[28],"address":[29],"much":[31],"harder":[32],"problem":[33],"of":[34,64,106,114,121],"multiple":[35,48,58],"and":[39,116,158],"propose":[40],"Nonnegative":[42,99],"Matrix":[43,100],"Factorization":[44,101],"algorithm":[45],"for":[46,51,67],"communities":[50,66],"chosen":[55],"randomly":[56],"ground":[59],"truth":[60],"communities.":[61,125,149],"The":[62],"number":[63,113],"detected":[65],"the":[68,74,84,93,103,107,112,119,122,131,165,170],"is":[70],"determined":[71],"automatically":[72],"by":[73,164],"algorithm.":[75,175],"We":[76,96],"first":[77],"apply":[78],"Breadth-First":[80],"Search":[81],"sample":[83],"input":[85],"graph":[86],"up":[87],"several":[89],"levels":[90],"depending":[91],"network":[94],"density.":[95],"then":[97,117],"use":[98],"adjacency":[104],"matrix":[105],"sampled":[108],"subgraph":[109,123],"estimate":[111],"communities,":[115],"cluster":[118],"nodes":[120,147],"into":[124],"Our":[126,150],"proposed":[127],"method":[128,151],"differs":[129],"from":[130],"existing":[132],"NMF-based":[133],"methods":[136],"as":[137,162],"it":[138],"does":[139],"not":[140],"use\u201c":[141],"argmax":[142],"\u201d":[143],"function":[144],"assign":[146],"has":[152],"been":[153],"evaluated":[154,163],"real-world":[156],"shows":[159],"good":[160],"accuracy":[161],"F1score":[166],"when":[167],"comparing":[168],"with":[169],"state-of-the-art":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}