{"id":"https://openalex.org/W7151333646","doi":"https://doi.org/10.1145/3786674","title":"Order-based Algorithms for Efficient Core Maintenance in Large Bipartite Graphs","display_name":"Order-based Algorithms for Efficient Core Maintenance in Large Bipartite Graphs","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7151333646","doi":"https://doi.org/10.1145/3786674"},"language":"en","primary_location":{"id":"doi:10.1145/3786674","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786674","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3786674","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109162046","display_name":"Qiaoyuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoyuan Yang","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-8024-8411","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027215908","display_name":"Wensheng Luo","orcid":"https://orcid.org/0000-0002-1463-814X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Luo","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1463-814X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043494334","display_name":"Yixiang Fang","orcid":"https://orcid.org/0000-0002-5047-8593"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Fang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5047-8593","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047852241","display_name":"Yuanyuan Zeng","orcid":"https://orcid.org/0000-0002-3764-6476"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zeng","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3764-6476","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3938898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.28610000014305115,"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":0.28610000014305115,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.131400004029274,"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":0.08449999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.891700029373169},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.7361999750137329},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.675000011920929},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4587000012397766},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3944999873638153}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.891700029373169},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.7361999750137329},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.675000011920929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5864999890327454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5742999911308289},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4187000095844269},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.275299996137619},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786674","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786674","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3786674","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786674","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.751125693321228,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1676865579","https://openalex.org/W1984191816","https://openalex.org/W1997907874","https://openalex.org/W2026511056","https://openalex.org/W2045102550","https://openalex.org/W2049354208","https://openalex.org/W2062705952","https://openalex.org/W2071213388","https://openalex.org/W2071864549","https://openalex.org/W2074310030","https://openalex.org/W2125708920","https://openalex.org/W2125895010","https://openalex.org/W2133591726","https://openalex.org/W2150517229","https://openalex.org/W2155181262","https://openalex.org/W2228089378","https://openalex.org/W2259724869","https://openalex.org/W2272689892","https://openalex.org/W2297833300","https://openalex.org/W2613159091","https://openalex.org/W2614971541","https://openalex.org/W2759385412","https://openalex.org/W2767249079","https://openalex.org/W2787993231","https://openalex.org/W2901074221","https://openalex.org/W2911528866","https://openalex.org/W2949055953","https://openalex.org/W2962676535","https://openalex.org/W2963996605","https://openalex.org/W3009094743","https://openalex.org/W3014559949","https://openalex.org/W3029150735","https://openalex.org/W3035455649","https://openalex.org/W3037117430","https://openalex.org/W3176857846","https://openalex.org/W3193857769","https://openalex.org/W3208185614","https://openalex.org/W4220699347","https://openalex.org/W4285005134","https://openalex.org/W4289533936","https://openalex.org/W4289534015","https://openalex.org/W4315784947","https://openalex.org/W4317767730","https://openalex.org/W4381328755","https://openalex.org/W4382762652","https://openalex.org/W4388620381","https://openalex.org/W4402969637","https://openalex.org/W4412376950","https://openalex.org/W4417070810"],"related_works":[],"abstract_inverted_index":{"The":[0,27,193],"(\u03b1,":[1],"\u03b2)-core,":[2],"a.k.a.":[3],"bi-core,":[4],"is":[5],"a":[6,101,144,155,165],"fundamental":[7],"model":[8],"in":[9,14,54,66],"bipartite":[10,31,56],"graphs,":[11,32,57,110],"extensively":[12],"applied":[13],"various":[15],"real-world":[16],"applications":[17],"such":[18],"as":[19],"product":[20],"recommendation,":[21],"fraud":[22],"detection,":[23],"and":[24,36,40,72,77,88,200],"community":[25],"detection.":[26],"dynamic":[28,55,109],"nature":[29],"of":[30,38,79,175,207,215,220],"with":[33,75,93],"frequent":[34],"insertions":[35],"deletions":[37,188],"vertices":[39],"edges,":[41],"makes":[42],"maintaining":[43],"bi-cores":[44,67],"computationally":[45],"expensive.":[46],"Although":[47],"recent":[48],"work":[49],"has":[50],"addressed":[51],"bi-core":[52,90,113,123],"maintenance":[53,91,114,124,168],"existing":[58],"approaches":[59],"lack":[60],"theoretical":[61,94,117],"analysis":[62,118],"regarding":[63],"the":[64,112,122,148,152,161,173,182,204,223],"changes":[65],"corresponding":[68],"to":[69,217],"graph":[70],"modifications,":[71],"also":[73],"struggle":[74],"scalability":[76],"frequency":[78],"updates.":[80],"To":[81,138],"tackle":[82],"these":[83],"challenges,":[84],"we":[85,97,142,163],"systematically":[86],"analyze":[87],"present":[89],"algorithms":[92,107],"guarantees.":[95],"Specifically,":[96],"conduct":[98],"boundedness":[99],"analysis,":[100],"key":[102],"tool":[103],"for":[104,186],"analyzing":[105],"incremental":[106],"over":[108,222],"on":[111,197],"problem.":[115],"Our":[116],"shows":[119],"that":[120,170],"while":[121],"problem":[125],"stays":[126],"bounded":[127,157,185],"under":[128],"edge":[129,136,187],"deletions,":[130],"it":[131],"becomes":[132],"unbounded":[133],"when":[134],"handling":[135],"insertions.":[137],"handle":[139],"this":[140],"unboundedness,":[141],"propose":[143],"novel":[145,166],"structure":[146],"called":[147],"BD-Order,":[149,162],"which":[150],"transforms":[151],"solution":[153],"into":[154],"near":[156],"one.":[158],"By":[159],"leveraging":[160],"introduce":[164],"order-based":[167],"algorithm":[169,183],"effectively":[171],"reduces":[172],"scope":[174],"affected":[176],"vertices,":[177],"thus":[178],"enhancing":[179],"efficiency.":[180],"Additionally,":[181],"remains":[184],"through":[189],"an":[190],"auxiliary":[191],"structure.":[192],"comprehensive":[194],"experimental":[195],"results":[196],"diverse":[198],"real":[199],"synthetic":[201],"datasets":[202],"underscore":[203],"superior":[205],"performance":[206],"our":[208],"algorithms.":[209],"Particularly,":[210],"they":[211],"achieve":[212],"speed":[213],"enhancements":[214],"up":[216],"two":[218],"orders":[219],"magnitude":[221],"state-of-the-art":[224],"approaches.":[225]},"counts_by_year":[],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2026-04-08T00:00:00"}
