{"id":"https://openalex.org/W2767593692","doi":"https://doi.org/10.1145/3132847.3132904","title":"Community-Based Network Alignment for Large Attributed Network","display_name":"Community-Based Network Alignment for Large Attributed Network","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767593692","doi":"https://doi.org/10.1145/3132847.3132904","mag":"2767593692"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on 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/A5088372348","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0003-4013-3492"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039790968","display_name":"Xinli Yu","orcid":"https://orcid.org/0000-0002-8211-8058"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinli Yu","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068396932","display_name":"Bo Song","orcid":"https://orcid.org/0000-0003-1600-5140"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Song","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060720664","display_name":"Jianliang Gao","orcid":"https://orcid.org/0000-0002-9363-9908"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianliang Gao","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569677","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0001-6942-490X"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102761452","display_name":"Wei-Shih Yang","orcid":"https://orcid.org/0000-0001-6418-9015"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shih Yang","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088372348"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":1.8924,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.86079576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"587","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9951000213623047,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8141958117485046},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5878686904907227},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4889122545719147},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4867699146270752},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47349366545677185},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45958155393600464},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4462064802646637},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4106253981590271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36704206466674805},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3494611978530884},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21598035097122192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20371684432029724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09354287385940552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141958117485046},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5878686904907227},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4889122545719147},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4867699146270752},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47349366545677185},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45958155393600464},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4462064802646637},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4106253981590271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36704206466674805},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3494611978530884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21598035097122192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20371684432029724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09354287385940552},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3132904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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":37,"referenced_works":["https://openalex.org/W160364443","https://openalex.org/W190008395","https://openalex.org/W584423923","https://openalex.org/W1518994209","https://openalex.org/W1533841329","https://openalex.org/W1759395414","https://openalex.org/W1779639821","https://openalex.org/W1815611020","https://openalex.org/W1974682889","https://openalex.org/W1982350890","https://openalex.org/W1987643017","https://openalex.org/W1994473607","https://openalex.org/W2012921801","https://openalex.org/W2020791731","https://openalex.org/W2022704179","https://openalex.org/W2056124433","https://openalex.org/W2058036501","https://openalex.org/W2102907934","https://openalex.org/W2104690989","https://openalex.org/W2107107106","https://openalex.org/W2111708605","https://openalex.org/W2119998616","https://openalex.org/W2124225314","https://openalex.org/W2233545183","https://openalex.org/W2240268387","https://openalex.org/W2336317531","https://openalex.org/W2340622084","https://openalex.org/W2391555403","https://openalex.org/W2559839022","https://openalex.org/W2577989413","https://openalex.org/W2761452438","https://openalex.org/W2767544505","https://openalex.org/W2951938755","https://openalex.org/W3102647957","https://openalex.org/W4235571646","https://openalex.org/W4253803149","https://openalex.org/W6643663778"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1988224651","https://openalex.org/W4226309346","https://openalex.org/W2170725231"],"abstract_inverted_index":{"Network":[0],"alignment":[1,28,62],"is":[2,91,116,125,144],"becoming":[3],"an":[4,73],"active":[5],"topic":[6],"in":[7,34,63,72,132],"network":[8,27,56,110],"data":[9],"analysis.":[10],"Despite":[11],"extensive":[12],"research,":[13],"we":[14,48],"realize":[15],"that":[16,53,93],"efficient":[17],"use":[18],"of":[19,134,146,149],"topological":[20],"and":[21,46,60,81,104,137,142],"attribute":[22],"information":[23],"for":[24,66,118],"large":[25,67,140],"attributed":[26],"has":[29],"not":[30],"been":[31],"sufficiently":[32],"addressed":[33],"previous":[35],"studies.":[36],"In":[37],"this":[38],"paper,":[39],"based":[40],"on":[41,108,139,151],"Stochastic":[42],"Block":[43],"Model":[44],"(SBM)":[45],"Dirichlet-multinomial,":[47],"propose":[49],"\"divide-and-conquer\"":[50],"models":[51,131],"CAlign":[52,124,143],"jointly":[54],"consider":[55],"alignment,":[57],"community":[58,61],"discovery":[59],"one":[64],"framework":[65],"networks":[68],"with":[69,111],"node":[70],"attributes,":[71],"effort":[74],"to":[75,127],"reduce":[76],"both":[77],"the":[78,94],"computation":[79],"time":[80,102,136],"memory":[82,138],"usage":[83],"while":[84],"achieving":[85],"better":[86],"or":[87],"competitive":[88],"performance.":[89],"It":[90],"provable":[92],"algorithms":[95],"derived":[96],"from":[97],"our":[98],"model":[99],"have":[100],"sub-quadratic":[101],"complexity":[103,107],"linear":[105],"space":[106],"a":[109,152],"small":[112],"densification":[113],"power,":[114],"which":[115],"true":[117],"most":[119],"real-world":[120],"networks.":[121],"Experiments":[122],"show":[123],"superior":[126],"two":[128],"recent":[129],"state-of-art":[130],"terms":[133],"accuracy,":[135],"networks,":[141],"capable":[145],"handling":[147],"millions":[148],"nodes":[150],"modern":[153],"desktop":[154],"machine.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
