{"id":"https://openalex.org/W2153250079","doi":"https://doi.org/10.1145/2684822.2685298","title":"Finding Subgraphs with Maximum Total Density and Limited Overlap","display_name":"Finding Subgraphs with Maximum Total Density and Limited Overlap","publication_year":2015,"publication_date":"2015-01-28","ids":{"openalex":"https://openalex.org/W2153250079","doi":"https://doi.org/10.1145/2684822.2685298","mag":"2153250079"},"language":"en","primary_location":{"id":"doi:10.1145/2684822.2685298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2684822.2685298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"preprint","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/A5045913576","display_name":"Oana Balalau","orcid":"https://orcid.org/0000-0003-1469-3664"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Oana Denisa Balalau","raw_affiliation_strings":["Institut Mines Telecom, Telecom Paristech, CNRS, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Mines Telecom, Telecom Paristech, CNRS, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022272025","display_name":"Francesco Bonchi","orcid":"https://orcid.org/0000-0001-9464-8315"},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francesco Bonchi","raw_affiliation_strings":["Yahoo Labs, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Yahoo Labs, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018708584","display_name":"T-H. Hubert Chan","orcid":"https://orcid.org/0000-0002-8340-235X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"T-H. Hubert Chan","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026420819","display_name":"Francesco Gullo","orcid":"https://orcid.org/0000-0002-7052-1114"},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francesco Gullo","raw_affiliation_strings":["Yahoo Labs, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Yahoo Labs, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057257639","display_name":"Mauro Sozio","orcid":"https://orcid.org/0000-0002-2031-3974"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mauro Sozio","raw_affiliation_strings":["Institut Mines Telecom, Telecom Paristech, CNRS, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Mines Telecom, Telecom Paristech, CNRS, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045913576"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I205703379"],"apc_list":null,"apc_paid":null,"fwci":13.826,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.99159084,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9984999895095825,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6688401103019714},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5895776748657227},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.584740400314331},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5804066061973572},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4840821325778961},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.482426255941391},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.48220860958099365},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.469535231590271},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4301328659057617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2749403417110443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2733350694179535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15388712286949158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688401103019714},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5895776748657227},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.584740400314331},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5804066061973572},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4840821325778961},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.482426255941391},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.48220860958099365},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.469535231590271},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4301328659057617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2749403417110443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2733350694179535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15388712286949158},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2684822.2685298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2684822.2685298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.4953","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.4953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://i.cs.hku.hk/%7Ehubert/wsdm15.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01699040v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01699040","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Web Search and Data Mining (WSDM), 2015, Shanghai, China","raw_type":"Conference papers"},{"id":"pmh:oai:hub.hku.hk:10722/214755","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/214755","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G6535566276","display_name":null,"funder_award_id":"HKU17200214E","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W183656749","https://openalex.org/W1489868559","https://openalex.org/W1500512125","https://openalex.org/W1535144194","https://openalex.org/W1566824879","https://openalex.org/W1604983895","https://openalex.org/W1888358353","https://openalex.org/W1964419312","https://openalex.org/W1972558815","https://openalex.org/W2005499394","https://openalex.org/W2013414394","https://openalex.org/W2030365814","https://openalex.org/W2032279394","https://openalex.org/W2037487875","https://openalex.org/W2038225707","https://openalex.org/W2047923585","https://openalex.org/W2051109346","https://openalex.org/W2091602684","https://openalex.org/W2115659887","https://openalex.org/W2119757574","https://openalex.org/W2121526866","https://openalex.org/W2128708824","https://openalex.org/W2133238553","https://openalex.org/W2185253876","https://openalex.org/W2217968126","https://openalex.org/W2952763838","https://openalex.org/W2953102514","https://openalex.org/W3105002819"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2294604808"],"abstract_inverted_index":{"Finding":[0],"dense":[1,38,72],"subgraphs":[2,39,73,116],"in":[3,10,45,81,158],"large":[4,53,174],"graphs":[5,176],"is":[6,57,110,146],"a":[7,11,52,61,82,98,144],"key":[8],"primitive":[9],"variety":[12],"of":[13,55,69,88,101,135,137,161,182],"real-world":[14,175],"application":[15],"domains,":[16],"encompassing":[17],"social":[18,46],"network":[19],"analytics,":[20],"event":[21],"detection,":[22],"biology,":[23],"and":[24,96,180],"finance.":[25],"In":[26,91],"most":[27,114],"such":[28,143],"applications,":[29],"one":[30],"typically":[31],"aims":[32],"at":[33,113],"finding":[34,60,70],"several":[35,71],"(possibly":[36],"overlapping)":[37],"which":[40],"might":[41],"correspond":[42],"to":[43,59,85,111],"communities":[44],"networks":[47],"or":[48],"interesting":[49],"events.":[50],"While":[51],"amount":[54],"work":[56,93],"devoted":[58],"single":[62],"densest":[63,103],"subgraph,":[64],"perhaps":[65],"surprisingly,":[66],"the":[67,86,102,107,128,133,138,178],"problem":[68,145],"with":[74,117,155],"limited":[75],"overlap":[76],"has":[77],"not":[78],"been":[79],"studied":[80],"principled":[83],"way,":[84],"best":[87],"our":[89,183],"knowledge.":[90],"this":[92],"we":[94,148],"define":[95],"study":[97],"natural":[99],"generalization":[100],"subgraph":[104],"problem,":[105],"where":[106],"main":[108],"goal":[109],"find":[112],"$k$":[115],"maximum":[118],"total":[119],"aggregate":[120],"density,":[121],"while":[122],"satisfying":[123],"an":[124,150,166],"upper":[125],"bound":[126],"on":[127,173],"pairwise":[129],"Jaccard":[130],"coefficient":[131],"between":[132],"sets":[134],"nodes":[136],"subgraphs.":[139],"After":[140],"showing":[141],"that":[142,153],"NP-Hard,":[147],"devise":[149],"efficient":[151,167],"algorithm":[152],"comes":[154],"provable":[156],"guarantees":[157],"some":[159],"cases":[160],"interest,":[162],"as":[163],"well":[164],"as,":[165],"practical":[168],"heuristic.":[169],"Our":[170],"extensive":[171],"evaluation":[172],"confirms":[177],"efficiency":[179],"effectiveness":[181],"algorithms.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}