{"id":"https://openalex.org/W2964191630","doi":"https://doi.org/10.1109/bigdata.2018.8622227","title":"Local Partition in Rich Graphs","display_name":"Local Partition in Rich Graphs","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2964191630","doi":"https://doi.org/10.1109/bigdata.2018.8622227","mag":"2964191630"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5036713669","display_name":"Scott Freitas","orcid":"https://orcid.org/0000-0002-3263-3641"},"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":"Scott Freitas","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000474356","display_name":"Nan Cao","orcid":"https://orcid.org/0000-0003-1316-7515"},"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":"Nan Cao","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052933431","display_name":"Yinglong Xia","orcid":"https://orcid.org/0000-0002-8155-5440"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinglong Xia","raw_affiliation_strings":["Huawei, Santa Clara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei, Santa Clara, CA","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"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":"Duen Horng Polo Chau","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3396,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60931119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1001","last_page":"1008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"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/T11478","display_name":"Caching and Content Delivery","score":0.9847999811172485,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9751999974250793,"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/graph-partition","display_name":"Graph partition","score":0.7048678994178772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662091851234436},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5482932329177856},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5467728972434998},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5359336733818054},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5346111059188843},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5027992725372314},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2524661123752594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24133148789405823}],"concepts":[{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.7048678994178772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662091851234436},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5482932329177856},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5467728972434998},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5359336733818054},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5346111059188843},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5027992725372314},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2524661123752594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24133148789405823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1699455313","https://openalex.org/W1975830203","https://openalex.org/W1976969221","https://openalex.org/W1995853580","https://openalex.org/W2008620264","https://openalex.org/W2034331023","https://openalex.org/W2042533354","https://openalex.org/W2086254934","https://openalex.org/W2110620844","https://openalex.org/W2121020155","https://openalex.org/W2122278421","https://openalex.org/W2124168655","https://openalex.org/W2135512436","https://openalex.org/W2154897810","https://openalex.org/W2166692708","https://openalex.org/W2585895356","https://openalex.org/W2716747561","https://openalex.org/W2743013071","https://openalex.org/W2743418339","https://openalex.org/W2767323975","https://openalex.org/W6644524268","https://openalex.org/W6660792379","https://openalex.org/W6742886466"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W3139829055","https://openalex.org/W2583811263","https://openalex.org/W3134869969","https://openalex.org/W2782513589","https://openalex.org/W3173312668","https://openalex.org/W2810695303","https://openalex.org/W3012931947","https://openalex.org/W3183075326","https://openalex.org/W2035944803"],"abstract_inverted_index":{"Local":[0],"graph":[1,6,29,35,60,68],"partitioning":[2,30,61,95],"is":[3],"a":[4,54],"key":[5],"mining":[7],"tool":[8],"that":[9,75],"allows":[10],"researchers":[11],"to":[12,43,57,82],"identify":[13],"small":[14],"groups":[15],"of":[16],"interrelated":[17],"nodes":[18],"(e.g.,":[19,25],"people)":[20],"and":[21,38,70],"their":[22],"connective":[23],"edges":[24],"interactions).":[26],"As":[27],"local":[28,59,85,94],"focuses":[31],"primarily":[32],"on":[33],"the":[34,45,50,67],"structure":[36,69],"(vertices":[37],"edges),":[39],"it":[40],"often":[41],"fails":[42],"consider":[44],"additional":[46],"information":[47],"contained":[48],"in":[49],"attributes.":[51,71],"We":[52],"propose":[53],"scalable":[55],"algorithm":[56,79],"improve":[58],"by":[62],"taking":[63],"into":[64],"account":[65],"both":[66],"Experimental":[72],"results":[73],"show":[74],"our":[76],"proposed":[77],"AttriPart":[78],"finds":[80],"up":[81],"1.6\u00d7":[83],"denser":[84],"partitions,":[86],"while":[87],"running":[88],"approximately":[89],"43\u00d7":[90],"faster":[91],"than":[92],"traditional":[93],"techniques":[96],"(PageRank-Nibble).":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
