{"id":"https://openalex.org/W3035455649","doi":"https://doi.org/10.1145/3357713.3384327","title":"Near-optimal fully dynamic densest subgraph","display_name":"Near-optimal fully dynamic densest subgraph","publication_year":2020,"publication_date":"2020-06-06","ids":{"openalex":"https://openalex.org/W3035455649","doi":"https://doi.org/10.1145/3357713.3384327","mag":"3035455649"},"language":"en","primary_location":{"id":"doi:10.1145/3357713.3384327","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357713.3384327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing","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/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":"last","author":{"id":"https://openalex.org/A5090423452","display_name":"Junxing Wang","orcid":"https://orcid.org/0000-0002-4381-1634"},"institutions":[{"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":["Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4605,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94062616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9934999942779541,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9897000193595886,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.988099992275238,"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":0.6533137559890747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533137559890747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357713.3384327","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357713.3384327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1500483810","https://openalex.org/W1500512125","https://openalex.org/W1501843896","https://openalex.org/W1520195889","https://openalex.org/W1535144194","https://openalex.org/W1849583273","https://openalex.org/W1966347128","https://openalex.org/W1968895412","https://openalex.org/W1977458171","https://openalex.org/W1983248819","https://openalex.org/W1992869351","https://openalex.org/W1994924587","https://openalex.org/W2003813631","https://openalex.org/W2005945380","https://openalex.org/W2013469283","https://openalex.org/W2018804864","https://openalex.org/W2032279394","https://openalex.org/W2041955583","https://openalex.org/W2045430818","https://openalex.org/W2047281923","https://openalex.org/W2047923585","https://openalex.org/W2051109346","https://openalex.org/W2051365847","https://openalex.org/W2054560566","https://openalex.org/W2091299439","https://openalex.org/W2121473031","https://openalex.org/W2122710250","https://openalex.org/W2126077878","https://openalex.org/W2134422938","https://openalex.org/W2138434992","https://openalex.org/W2146507303","https://openalex.org/W2148606255","https://openalex.org/W2150865801","https://openalex.org/W2151626491","https://openalex.org/W2151936673","https://openalex.org/W2152163260","https://openalex.org/W2153715991","https://openalex.org/W2160556205","https://openalex.org/W2164648353","https://openalex.org/W2169206507","https://openalex.org/W2217968126","https://openalex.org/W2259724869","https://openalex.org/W2260890852","https://openalex.org/W2261727491","https://openalex.org/W2341465683","https://openalex.org/W2492038761","https://openalex.org/W2611854190","https://openalex.org/W2792298309","https://openalex.org/W2809141942","https://openalex.org/W2949936571","https://openalex.org/W2953102514","https://openalex.org/W2963123599","https://openalex.org/W3000811701","https://openalex.org/W3021945058","https://openalex.org/W3044238769","https://openalex.org/W4238411931","https://openalex.org/W4255889623","https://openalex.org/W4401657621"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,44,91],"give":[1],"the":[2,46,72,98],"first":[3],"fully":[4,82],"dynamic":[5,83],"algorithm":[6],"which":[7,59],"maintains":[8],"a":[9,55],"(1\u2212\u0454)-approximate":[10],"densest":[11,47,84],"subgraph":[12,21,48,85],"in":[13],"worst-case":[14],"time":[15],"poly(logn,":[16],"\u0454\u22121)":[17],"per":[18],"update.":[19],"Dense":[20],"discovery":[22],"is":[23],"an":[24,63],"important":[25],"primitive":[26],"for":[27,81],"many":[28],"real-world":[29],"applications":[30],"such":[31],"as":[32,54],"community":[33],"detection,":[34,37],"link":[35],"spam":[36],"distance":[38],"query":[39],"indexing,":[40],"and":[41],"computational":[42],"biology.":[43],"approach":[45],"problem":[49,99],"by":[50],"framing":[51],"its":[52],"dual":[53],"graph":[56],"orientation":[57],"problem,":[58],"we":[60],"solve":[61],"using":[62],"augmenting":[64],"path-like":[65],"adjustment":[66],"technique.":[67],"Our":[68],"result":[69],"improves":[70],"upon":[71],"previous":[73],"best":[74],"approximation":[75],"factor":[76],"of":[77],"(1/4":[78],"\u2212":[79],"\u0454)":[80],"[Bhattacharya":[86],"et.":[87],"al.,":[88],"STOC":[89],"\u201815].":[90],"also":[92],"extend":[93],"our":[94],"techniques":[95],"to":[96],"solving":[97],"on":[100],"vertex-weighted":[101],"graphs":[102],"with":[103],"similar":[104],"runtimes.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}
