{"id":"https://openalex.org/W4416017001","doi":"https://doi.org/10.1145/3746252.3761042","title":"Distributed Computation of <i>k</i> -Vertex Connected Components in Large Scale Networks","display_name":"Distributed Computation of <i>k</i> -Vertex Connected Components in Large Scale Networks","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416017001","doi":"https://doi.org/10.1145/3746252.3761042"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-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/A5049204459","display_name":"Xinchao Hu","orcid":"https://orcid.org/0009-0005-7654-1756"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinchao Hu","raw_affiliation_strings":["North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409804","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-3567-2101"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Guo","orcid":"https://orcid.org/0009-0006-7082-4867"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shan Huang","orcid":"https://orcid.org/0000-0003-1758-755X"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Huang","raw_affiliation_strings":["Dalian Minzu University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783777","display_name":"Guoli Yang","orcid":"https://orcid.org/0000-0002-1076-2119"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoli Yang","raw_affiliation_strings":["Advanced Institute of Big Data, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Big Data, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101620559","display_name":"Yuhai Zhao","orcid":"https://orcid.org/0000-0002-1080-0859"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhai Zhao","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049204459"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32791664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"898","last_page":"907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.32670000195503235,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.32670000195503235,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.24060000479221344,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.1808999925851822,"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/computation","display_name":"Computation","score":0.7361999750137329},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5964999794960022},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5673999786376953},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.501800000667572},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4293999969959259},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.42660000920295715},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.3637999892234802},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.33889999985694885}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7361999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883000135421753},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.42660000920295715},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4058000147342682},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C38754835","wikidata":"https://www.wikidata.org/wiki/Q2003238","display_name":"Strongly connected component","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C103257674","wikidata":"https://www.wikidata.org/wiki/Q6934937","display_name":"Multiple edges","level":3,"score":0.2632000148296356}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3075697821","display_name":null,"funder_award_id":"61902004, 72201275, 6197700","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W976211528","https://openalex.org/W1964773853","https://openalex.org/W1983365058","https://openalex.org/W1998644443","https://openalex.org/W2015504211","https://openalex.org/W2017109153","https://openalex.org/W2035315311","https://openalex.org/W2057463094","https://openalex.org/W2070506828","https://openalex.org/W2148178939","https://openalex.org/W2531582986","https://openalex.org/W2561911856","https://openalex.org/W2603339361","https://openalex.org/W2942227953","https://openalex.org/W2963529254","https://openalex.org/W3084816864","https://openalex.org/W3133302368","https://openalex.org/W3154363944","https://openalex.org/W3194776842","https://openalex.org/W3196995034","https://openalex.org/W4226133026","https://openalex.org/W4381327070","https://openalex.org/W4385285719","https://openalex.org/W4385983745","https://openalex.org/W4394862942","https://openalex.org/W4400909518"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"k-vertex":[1],"connected":[2,24],"component":[3],"(k-VCC)":[4],"detection":[5,56,84],"has":[6,37],"gained":[7],"significant":[8],"attention":[9],"in":[10,184],"graph":[11],"analysis":[12],"owing":[13],"to":[14,17,90,136,148],"its":[15],"ability":[16],"capture":[18],"structural":[19],"cohesion.":[20],"A":[21],"k-VCC":[22,36,55,83],"remains":[23],"even":[25],"after":[26],"the":[27,52,117,146,150,161,175],"removal":[28],"of":[29,61,163],"any":[30],"k-1":[31],"vertices":[32,135,180],"from":[33,133],"itself.":[34],"The":[35],"broad":[38],"applications":[39],"across":[40],"multiple":[41],"domains,":[42],"such":[43],"as":[44],"social":[45],"network":[46],"analysis,":[47],"cybersecurity,":[48],"and":[49,140,144,181],"bioinformatics.":[50],"Yet,":[51],"existing":[53],"exact":[54],"algorithms":[57],"require":[58],"repeated":[59],"computation":[60,95],"minimum":[62,92],"vertex":[63,93],"cuts,":[64],"imposing":[65],"a":[66,102,113,185],"prohibitive":[67],"computational":[68],"cost":[69],"for":[70,82,105],"large":[71,157],"scale":[72],"graphs.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,100,130,169],"present":[78],"an":[79],"approximate":[80],"algorithm":[81,104],"that":[85,124],"leverages":[86],"Monte":[87],"Carlo":[88],"sampling":[89],"accelerate":[91],"cut":[94],"with":[96,178],"theoretical":[97],"guarantee.":[98],"Further,":[99],"design":[101],"distributed":[103],"mining":[106,122],"all":[107],"k-VCCs,":[108],"named":[109],"DkVCC.":[110],"DkVCC":[111],"adopts":[112],"divide-and-conquer":[114],"strategy,":[115],"decomposing":[116],"problem":[118],"into":[119],"smaller":[120],"subgraph":[121],"tasks":[123,132],"can":[125],"be":[126],"executed":[127],"concurrently.":[128],"Specifically,":[129],"generate":[131],"individual":[134],"construct":[137],"initial":[138],"subgraphs,":[139],"then":[141],"iteratively":[142],"expand":[143],"merge":[145],"subgraphs":[147],"form":[149],"final":[151],"k-VCCs.":[152],"Extensive":[153],"experiments":[154],"on":[155,174],"5":[156],"real":[158],"datasets":[159],"demonstrates":[160],"efficiency":[162],"our":[164],"proposed":[165],"algorithms.":[166],"For":[167],"example,":[168],"achieve":[170],"4\u00d7":[171],"runtime":[172],"speedup":[173],"LiveJournal":[176],"dataset":[177],"3.99M":[179],"34.7M":[182],"edges":[183],"3-node":[186],"cluster.":[187]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-08T00:00:00"}