{"id":"https://openalex.org/W2039564426","doi":"https://doi.org/10.1145/2798087.2798089","title":"Clustering Large Undirected Graphs on External Memory","display_name":"Clustering Large Undirected Graphs on External Memory","publication_year":2015,"publication_date":"2015-08-27","ids":{"openalex":"https://openalex.org/W2039564426","doi":"https://doi.org/10.1145/2798087.2798089","mag":"2039564426"},"language":"en","primary_location":{"id":"doi:10.1145/2798087.2798089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2798087.2798089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Hot Topics in Planet-Scale Measurement","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/A5100432505","display_name":"Qin Liu","orcid":"https://orcid.org/0000-0003-0236-4513"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Liu","raw_affiliation_strings":["Tongji University, Shanghai, China","Tongji University, Shanghai, China;"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji University, Shanghai, China;","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074720427","display_name":"Jiakai Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiakai Xiao","raw_affiliation_strings":["Tongji University, Shanghai, China","Tongji University, Shanghai, China;"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji University, Shanghai, China;","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016210851","display_name":"Weixiong Rao","orcid":"https://orcid.org/0000-0001-6644-0349"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiong Rao","raw_affiliation_strings":["Tongji University, Shanghai, China","Tongji University, Shanghai, China;"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji University, Shanghai, China;","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100432505"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06669543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9915000200271606,"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":0.7339895367622375},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7070419192314148},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4998452663421631},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49100616574287415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4694492518901825},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.4495115876197815},{"id":"https://openalex.org/keywords/undirected-graph","display_name":"Undirected graph","score":0.4422062039375305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15104037523269653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339895367622375},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7070419192314148},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4998452663421631},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49100616574287415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4694492518901825},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.4495115876197815},{"id":"https://openalex.org/C3018234147","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Undirected graph","level":3,"score":0.4422062039375305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15104037523269653},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2798087.2798089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2798087.2798089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Hot Topics in Planet-Scale Measurement","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1788180225","https://openalex.org/W1967006938","https://openalex.org/W1972578597","https://openalex.org/W1994727615","https://openalex.org/W2023661891","https://openalex.org/W2029852131","https://openalex.org/W2046526098","https://openalex.org/W2053076698","https://openalex.org/W2060778826","https://openalex.org/W2096544401","https://openalex.org/W2099111195","https://openalex.org/W2131717044","https://openalex.org/W2160459668","https://openalex.org/W2170616854","https://openalex.org/W2755088640","https://openalex.org/W2962740062"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W1994341438","https://openalex.org/W2550869724","https://openalex.org/W2090103608"],"abstract_inverted_index":{"Traditional":[0],"graph":[1],"clustering":[2],"methods":[3],"perform":[4],"poorly":[5],"on":[6],"real":[7],"world":[8],"power-law":[9],"graphs":[10,31],"out":[11],"of":[12,34,81],"core.":[13],"To":[14],"tackle":[15],"this":[16,19],"challenge,":[17],"in":[18,32],"paper,":[20],"we":[21],"propose":[22],"an":[23],"algorithm":[24,87],"to":[25,58],"cluster":[26],"such":[27],"large":[28],"power":[29],"law":[30],"case":[33],"small":[35],"memory":[36],"size.":[37],"In":[38,56],"the":[39,54,60,79,85],"proposed":[40,86],"method,":[41],"clusters":[42],"(connected":[43],"components)":[44],"are":[45,74],"formed":[46],"by":[47],"removing":[48],"top":[49],"degree":[50],"nodes":[51],"(hubs)":[52],"from":[53],"graph.":[55],"order":[57],"minimize":[59],"time":[61,93],"for":[62],"selecting":[63],"hubs,":[64],"a":[65],"divide":[66],"and":[67],"conquer":[68],"strategy":[69],"is":[70],"adopted":[71],"so":[72],"hubs":[73],"selected":[75],"locally.":[76],"Compared":[77],"with":[78,94],"state":[80],"art":[82],"Slashbrun":[83],"[slashburn2],":[84],"can":[88],"achieve":[89],"30$\\times$":[90],"faster":[91],"running":[92],"about":[95],"6%":[96],"more":[97],"storage":[98],"cost.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}