{"id":"https://openalex.org/W3022297969","doi":"https://doi.org/10.1145/3366423.3380140","title":"Flowless: Extracting Densest Subgraphs Without Flow Computations","display_name":"Flowless: Extracting Densest Subgraphs Without Flow Computations","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3022297969","doi":"https://doi.org/10.1145/3366423.3380140","mag":"3022297969"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380140","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380140","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011110581","display_name":"Digvijay Boob","orcid":"https://orcid.org/0000-0002-4219-4849"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Digvijay Boob","raw_affiliation_strings":["Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076578170","display_name":"Yu Gao","orcid":"https://orcid.org/0000-0002-8535-3889"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Gao","raw_affiliation_strings":["Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112534230","display_name":"Richard Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Peng","raw_affiliation_strings":["Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074374806","display_name":"Saurabh Sawlani","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Sawlani","raw_affiliation_strings":["Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069421706","display_name":"Charalampos E. Tsourakakis","orcid":"https://orcid.org/0000-0001-5591-3585"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charalampos Tsourakakis","raw_affiliation_strings":["Boston University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401466","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-0891-0255"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090423452","display_name":"Junxing Wang","orcid":"https://orcid.org/0000-0002-4381-1634"},"institutions":[{"id":"https://openalex.org/I2802039673","display_name":"California Miramar University","ror":"https://ror.org/04phxq043","country_code":"US","type":"education","lineage":["https://openalex.org/I2802039673"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junxing Wang","raw_affiliation_strings":["CMU, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMU, USA","institution_ids":["https://openalex.org/I2802039673","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.402,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9806867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9995999932289124,"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":0.9995999932289124,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/scalability","display_name":"Scalability","score":0.7393369674682617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598755121231079},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.5493542551994324},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5404333472251892},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5177145004272461},{"id":"https://openalex.org/keywords/maximum-flow-problem","display_name":"Maximum flow problem","score":0.5085152387619019},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48722043633461},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4377763271331787},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4237097501754761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3489975929260254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2922918200492859},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22776880860328674}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7393369674682617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598755121231079},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.5493542551994324},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5404333472251892},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5177145004272461},{"id":"https://openalex.org/C157469704","wikidata":"https://www.wikidata.org/wiki/Q2585642","display_name":"Maximum flow problem","level":2,"score":0.5085152387619019},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48722043633461},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4377763271331787},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4237097501754761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3489975929260254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2922918200492859},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22776880860328674},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3366423.3380140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380140","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:open.bu.edu:2144/41396","is_oa":false,"landing_page_url":"https://hdl.handle.net/2144/41396","pdf_url":null,"source":{"id":"https://openalex.org/S4306402384","display_name":"OpenBU (Boston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I111088046","host_organization_name":"Boston University","host_organization_lineage":["https://openalex.org/I111088046"],"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 materials"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380140","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W183656749","https://openalex.org/W1828816537","https://openalex.org/W1888358353","https://openalex.org/W1924929788","https://openalex.org/W1977458171","https://openalex.org/W2013469283","https://openalex.org/W2020742901","https://openalex.org/W2030365814","https://openalex.org/W2032279394","https://openalex.org/W2051109346","https://openalex.org/W2054560566","https://openalex.org/W2081254453","https://openalex.org/W2090359754","https://openalex.org/W2097477220","https://openalex.org/W2119757574","https://openalex.org/W2126077878","https://openalex.org/W2133098022","https://openalex.org/W2150865801","https://openalex.org/W2163485494","https://openalex.org/W2259724869","https://openalex.org/W2260890852","https://openalex.org/W2266714125","https://openalex.org/W2584910459","https://openalex.org/W2605272442","https://openalex.org/W2606211773","https://openalex.org/W2938225880","https://openalex.org/W2940629793","https://openalex.org/W2949468048","https://openalex.org/W2953614266","https://openalex.org/W2993927700","https://openalex.org/W3035455649"],"related_works":["https://openalex.org/W3173606202","https://openalex.org/W1531601525","https://openalex.org/W2979334915","https://openalex.org/W2039086323","https://openalex.org/W2096589954","https://openalex.org/W1589381382","https://openalex.org/W961142965","https://openalex.org/W2076740206","https://openalex.org/W2086365412","https://openalex.org/W2188409860"],"abstract_inverted_index":{"The":[0,19,56],"problem":[1,22],"of":[2,6,51,76],"finding":[3],"dense":[4,39],"components":[5],"a":[7,10,28,35,101,120],"graph":[8,14],"is":[9,58,83],"major":[11],"primitive":[12,37],"in":[13,38,61,86,105],"mining":[15],"and":[16,93],"data":[17],"analysis.":[18],"densest":[20],"subgraph":[21,29,40],"(DSP)":[23],"that":[24],"asks":[25],"to":[26,48,71,89],"find":[27],"with":[30,42],"maximum":[31,65,77],"average":[32],"degree":[33],"forms":[34],"basic":[36],"discovery":[41,50],"applications":[43],"ranging":[44],"from":[45],"community":[46],"detection":[47],"unsupervised":[49],"biological":[52],"network":[53],"modules":[54],"[16].":[55],"DSP":[57],"exactly":[59],"solvable":[60],"polynomial":[62],"time":[63,92],"using":[64],"flows":[66],"[14,":[67],"17,":[68],"22].":[69],"Due":[70],"the":[72,124],"high":[73],"computational":[74],"cost":[75],"flows,":[78],"Charikar\u2019s":[79],"greedy":[80],"approximation":[81],"algorithm":[82],"usually":[84],"preferred":[85],"practice":[87],"due":[88],"its":[90,115],"linear":[91,94],"space":[95],"complexity":[96],"[3,":[97],"8].":[98],"It":[99],"constitutes":[100],"key":[102],"algorithmic":[103],"idea":[104],"scalable":[106],"solutions":[107],"for":[108],"large-scale":[109],"dynamic":[110],"graphs":[111],"[5,":[112],"7].":[113],"However,":[114],"output":[116],"density":[117],"can":[118],"be":[119],"factor":[121],"2":[122],"off":[123],"optimal":[125],"solution.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}