{"id":"https://openalex.org/W2883402510","doi":"https://doi.org/10.1007/978-3-319-97304-3_49","title":"Accurately Detecting Community with Large Attribute in Partial Networks","display_name":"Accurately Detecting Community with Large Attribute in Partial Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883402510","doi":"https://doi.org/10.1007/978-3-319-97304-3_49","mag":"2883402510"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-97304-3_49","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-97304-3_49","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/A5101675585","display_name":"Wei Han","orcid":"https://orcid.org/0000-0002-8736-4629"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Han","raw_affiliation_strings":["Institute of Microelectronics of Chinese Academy of Sciences, Beijing, 100029, China","Tsinghua University, Beijing, 100084, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101556282","display_name":"Guopeng Li","orcid":"https://orcid.org/0000-0002-7597-3048"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guopeng Li","raw_affiliation_strings":["National University of Defense Technology, Xi\u2019an, 710106, China","National University of Defense Technology, Xi'an, 710106, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Xi\u2019an, 710106, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, Xi'an, 710106, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390719","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0003-0034-9037"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, 100084, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101675585"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392","https://openalex.org/I99065089"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70291318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"643","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T11478","display_name":"Caching and Content Delivery","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8759098052978516},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7702997922897339},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6800167560577393},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6211578845977783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5605179071426392},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5216851234436035},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4617697298526764},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43615058064460754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4249197244644165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10883733630180359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8759098052978516},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7702997922897339},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6800167560577393},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6211578845977783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5605179071426392},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5216851234436035},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4617697298526764},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43615058064460754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4249197244644165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10883733630180359},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-97304-3_49","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-97304-3_49","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W775167584","https://openalex.org/W1817993605","https://openalex.org/W1879834137","https://openalex.org/W1942910215","https://openalex.org/W1977713568","https://openalex.org/W1979089718","https://openalex.org/W2006530052","https://openalex.org/W2012921801","https://openalex.org/W2019077935","https://openalex.org/W2050680319","https://openalex.org/W2097373341","https://openalex.org/W2100026763","https://openalex.org/W2108119513","https://openalex.org/W2111315907","https://openalex.org/W2119571791","https://openalex.org/W2124536061","https://openalex.org/W2132504805","https://openalex.org/W2134192315","https://openalex.org/W2136127419","https://openalex.org/W2149945051","https://openalex.org/W2181159407","https://openalex.org/W2208816379","https://openalex.org/W2280615536","https://openalex.org/W2340079414","https://openalex.org/W2411855254","https://openalex.org/W2417890516","https://openalex.org/W2476291847","https://openalex.org/W2513923847","https://openalex.org/W2547646153","https://openalex.org/W2557489574","https://openalex.org/W2566971417","https://openalex.org/W2571172799","https://openalex.org/W2599989989","https://openalex.org/W2604883312","https://openalex.org/W2650688300","https://openalex.org/W2782630728","https://openalex.org/W3100698234","https://openalex.org/W3102647957","https://openalex.org/W3102853179","https://openalex.org/W3105212664","https://openalex.org/W3143596294","https://openalex.org/W4292081303","https://openalex.org/W6948513878"],"related_works":["https://openalex.org/W3164244773","https://openalex.org/W3118155698","https://openalex.org/W2782034524","https://openalex.org/W2885142590","https://openalex.org/W2438572806","https://openalex.org/W2892548255","https://openalex.org/W3199347878","https://openalex.org/W2888922791","https://openalex.org/W2911083736","https://openalex.org/W3152869993","https://openalex.org/W2980500446","https://openalex.org/W2902746612","https://openalex.org/W1727189812","https://openalex.org/W19224017","https://openalex.org/W3198260137","https://openalex.org/W3108860874","https://openalex.org/W2806290700","https://openalex.org/W3002328907","https://openalex.org/W2341432800","https://openalex.org/W2885536591"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}