{"id":"https://openalex.org/W2088011174","doi":"https://doi.org/10.1145/2670979.2670997","title":"Connected Components in MapReduce and Beyond","display_name":"Connected Components in MapReduce and Beyond","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2088011174","doi":"https://doi.org/10.1145/2670979.2670997","mag":"2088011174"},"language":"en","primary_location":{"id":"doi:10.1145/2670979.2670997","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2670979.2670997","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2670979.2670997","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Cloud Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2670979.2670997","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084346571","display_name":"Raimondas Kiveris","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raimondas Kiveris","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022550622","display_name":"Silvio Lattanzi","orcid":"https://orcid.org/0000-0002-3502-7559"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Silvio Lattanzi","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075598023","display_name":"Vahab Mirrokni","orcid":"https://orcid.org/0000-0001-6705-5629"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahab Mirrokni","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003599004","display_name":"Vibhor Rastogi","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vibhor Rastogi","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070795618","display_name":"Sergei Vassilvitskii","orcid":"https://orcid.org/0000-0003-0235-1624"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergei Vassilvitskii","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084346571"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":6.0929,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.96588674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9980999827384949,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9973000288009644,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.8704494833946228},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.6290314197540283},{"id":"https://openalex.org/keywords/subroutine","display_name":"Subroutine","score":0.603209376335144},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5383822321891785},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4978625774383545},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4849882125854492},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4811371862888336},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47505781054496765},{"id":"https://openalex.org/keywords/distributed-hash-table","display_name":"Distributed hash table","score":0.43599745631217957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39103594422340393},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.31229543685913086},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10457795858383179},{"id":"https://openalex.org/keywords/peer-to-peer","display_name":"Peer-to-peer","score":0.08862915635108948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08848941326141357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704494833946228},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.6290314197540283},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.603209376335144},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5383822321891785},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4978625774383545},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4849882125854492},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4811371862888336},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47505781054496765},{"id":"https://openalex.org/C2780224649","wikidata":"https://www.wikidata.org/wiki/Q863506","display_name":"Distributed hash table","level":3,"score":0.43599745631217957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39103594422340393},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31229543685913086},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10457795858383179},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.08862915635108948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08848941326141357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2670979.2670997","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2670979.2670997","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2670979.2670997","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2670979.2670997","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2670979.2670997","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2670979.2670997","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Cloud Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2088011174.pdf","grobid_xml":"https://content.openalex.org/works/W2088011174.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1482680420","https://openalex.org/W1503698146","https://openalex.org/W1788180225","https://openalex.org/W1827980970","https://openalex.org/W1979693425","https://openalex.org/W2004350101","https://openalex.org/W2013246060","https://openalex.org/W2019724001","https://openalex.org/W2025220494","https://openalex.org/W2033258621","https://openalex.org/W2045271686","https://openalex.org/W2049631158","https://openalex.org/W2051586153","https://openalex.org/W2053061798","https://openalex.org/W2083954025","https://openalex.org/W2096544401","https://openalex.org/W2101196063","https://openalex.org/W2103191280","https://openalex.org/W2108201615","https://openalex.org/W2110814195","https://openalex.org/W2118577797","https://openalex.org/W2125182537","https://openalex.org/W2133035795","https://openalex.org/W2166037832","https://openalex.org/W2166837162","https://openalex.org/W2167927436","https://openalex.org/W2170616854","https://openalex.org/W2624304035","https://openalex.org/W2949418397","https://openalex.org/W6638233953"],"related_works":["https://openalex.org/W2360647157","https://openalex.org/W2160050276","https://openalex.org/W1591638986","https://openalex.org/W1566134492","https://openalex.org/W2102755235","https://openalex.org/W1835589799","https://openalex.org/W2112169432","https://openalex.org/W2358163560","https://openalex.org/W2134623410","https://openalex.org/W2403753337"],"abstract_inverted_index":{"Computing":[0],"connected":[1],"components":[2],"of":[3,10,30,48,50,74,105,156,158],"a":[4,17,78,130],"graph":[5,21],"lies":[6],"at":[7],"the":[8,31,72,120,126,139,146],"core":[9],"many":[11,29],"data":[12,67],"mining":[13],"algorithms,":[14,98,124],"and":[15,93,125],"is":[16,25,132],"fundamental":[18],"subroutine":[19],"in":[20,39],"clustering.":[22],"This":[23],"problem":[24],"well":[26],"studied,":[27],"yet":[28],"algorithms":[32,58,88,112,148],"with":[33,44,46,77,154],"good":[34],"theoretical":[35,91],"guarantees":[36],"perform":[37],"poorly":[38],"practice,":[40],"especially":[41],"when":[42],"faced":[43],"graphs":[45,153],"hundreds":[47,155],"billions":[49,157],"edges.":[51,159],"In":[52,107],"this":[53],"paper,":[54],"we":[55],"design":[56],"improved":[57],"based":[59],"on":[60],"traditional":[61],"MapReduce":[62,76,111,127],"architecture":[63],"for":[64],"large":[65],"scale":[66,151],"analysis.":[68],"We":[69,84],"also":[70],"explore":[71],"effect":[73],"augmenting":[75],"distributed":[79],"hash":[80],"table":[81],"(DHT)":[82],"service.":[83],"show":[85],"that":[86,149],"these":[87],"have":[89],"provable":[90],"guarantees,":[92],"easily":[94,150],"outperform":[95],"previously":[96,122,141],"studied":[97,123,142],"sometimes":[99],"by":[100],"more":[101],"than":[102,119,138],"an":[103],"order":[104],"magnitude.":[106],"particular,":[108],"our":[109],"iterative":[110],"run":[113],"3":[114],"to":[115,134,152],"15":[116],"times":[117,136],"faster":[118,137],"best":[121,140],"implementation":[128],"using":[129],"DHT":[131],"10":[133],"30":[135],"algorithms.":[143],"These":[144],"are":[145],"fastest":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}