{"id":"https://openalex.org/W3015485598","doi":"https://doi.org/10.14778/3157794.3157795","title":"Efficient structural graph clustering","display_name":"Efficient structural graph clustering","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W3015485598","doi":"https://doi.org/10.14778/3157794.3157795","mag":"3015485598"},"language":"en","primary_location":{"id":"doi:10.14778/3157794.3157795","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3157794.3157795","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","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/A5101509225","display_name":"Dong Wen","orcid":"https://orcid.org/0000-0002-0903-1503"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dong Wen","raw_affiliation_strings":["University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046220908","display_name":"Lu Qin","orcid":"https://orcid.org/0000-0001-6068-5062"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037530341","display_name":"Lijun Chang","orcid":"https://orcid.org/0000-0002-6830-3900"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lijun Chang","raw_affiliation_strings":["The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["The University of New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101509225"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":2.0757,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87644587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"243","last_page":"255"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9947999715805054,"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":0.9839000105857849,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7599020004272461},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6215637922286987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906828045845032},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5566205978393555},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.527820885181427},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48610782623291016},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4451420307159424},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42616182565689087},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4208136796951294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38648301362991333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37714093923568726},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37065044045448303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32278650999069214},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.29736053943634033},{"id":"https://openalex.org/keywords/graph-power","display_name":"Graph power","score":0.2096831202507019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17268624901771545}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7599020004272461},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6215637922286987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906828045845032},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5566205978393555},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.527820885181427},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48610782623291016},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4451420307159424},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42616182565689087},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4208136796951294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38648301362991333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37714093923568726},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37065044045448303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32278650999069214},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.29736053943634033},{"id":"https://openalex.org/C149530733","wikidata":"https://www.wikidata.org/wiki/Q5597091","display_name":"Graph power","level":4,"score":0.2096831202507019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17268624901771545},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3157794.3157795","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3157794.3157795","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W206953779","https://openalex.org/W1967006938","https://openalex.org/W1999446611","https://openalex.org/W2007954020","https://openalex.org/W2013414394","https://openalex.org/W2017987256","https://openalex.org/W2023536175","https://openalex.org/W2055245094","https://openalex.org/W2070593017","https://openalex.org/W2088840018","https://openalex.org/W2095293504","https://openalex.org/W2097452216","https://openalex.org/W2102717275","https://openalex.org/W2119757574","https://openalex.org/W2121947440","https://openalex.org/W2127048411","https://openalex.org/W2134008243","https://openalex.org/W2142140138","https://openalex.org/W2142599626","https://openalex.org/W2160313295","https://openalex.org/W2165515835","https://openalex.org/W2217968126","https://openalex.org/W2243560673","https://openalex.org/W2436321460","https://openalex.org/W2614270461","https://openalex.org/W3102641634"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4322825048"],"abstract_inverted_index":{"Graph":[0],"clustering":[1,14,28,143],"is":[2,112,124,162,171],"a":[3,69,130],"fundamental":[4],"problem":[5],"widely":[6],"experienced":[7],"across":[8],"many":[9],"industries.":[10],"The":[11,222],"structural":[12,142],"graph":[13,47,94,182],"(SCAN)":[15],"method":[16,84],"obtains":[17],"not":[18,150],"only":[19,68,145],"clusters":[20,118],"but":[21],"also":[22],"hubs":[23],"and":[24,37,49,98,119,187],"outliers.":[25],"However,":[26],"the":[27,40,63,93,113,125,137,147,152,155,172,177,202],"results":[29,224],"closely":[30],"depend":[31],"on":[32,45,88,146,151,209],"two":[33],"sensitive":[34],"parameters,":[35],"\u03f5":[36,97],"\u03bc,":[38],"while":[39],"optimal":[41],"parameter":[42],"setting":[43],"depends":[44,144],"different":[46],"properties":[48],"various":[50],"user":[51],"requirements.":[52],"Moreover,":[53],"all":[54,117,205],"existing":[55,231],"SCAN":[56],"solutions":[57],"need":[58],"to":[59,75,140,199],"scan":[60],"at":[61],"least":[62],"whole":[64],"graph,":[65],"even":[66],"if":[67],"small":[70],"number":[71,126,173],"of":[72,116,127,154,174,204,214],"vertices":[73],"belong":[74],"clusters.":[76],"In":[77,134],"this":[78],"paper":[79],"we":[80,91,184],"propose":[81,185],"an":[82],"index-based":[83],"for":[85,95,191],"SCAN.":[86],"Based":[87],"our":[89,193,206,227],"index,":[90],"cluster":[92,132],"any":[96],"\u03bc":[99],"in":[100,129,176],"O":[101,165],"(\u03a3":[102],"c":[103],"\u03f5\u2102":[104],"|":[105,120,123],"E":[106,121],"C":[107,122],"|)":[108],"time,":[109],"where":[110,169],"\u2102":[111],"result":[114,148],"set":[115],"edges":[128,175],"specific":[131],"C.":[133],"other":[135],"words,":[136],"time":[138],"expended":[139],"compute":[141],"size,":[149],"size":[153],"original":[156],"graph.":[157,178],"Our":[158],"index's":[159],"space":[160],"complexity":[161],"bounded":[163],"by":[164],"(":[166],"m":[167,170],"),":[168],"To":[179],"handle":[180],"dynamic":[181],"updates,":[183],"algorithms":[186,208],"several":[188],"optimization":[189],"techniques":[190],"maintaining":[192],"index.":[194],"We":[195],"conduct":[196],"extensive":[197],"experiments":[198],"practically":[200],"evaluate":[201],"performance":[203],"proposed":[207],"10":[210],"real-world":[211],"networks,":[212],"one":[213],"which":[215],"contains":[216],"more":[217],"than":[218],"1":[219],"billion":[220],"edges.":[221],"experimental":[223],"demonstrate":[225],"that":[226],"approaches":[228],"significantly":[229],"outperform":[230],"solutions.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}