{"id":"https://openalex.org/W2937663287","doi":"https://doi.org/10.1109/access.2019.2911567","title":"Comparative Examination of Network Clustering Methods for Extracting Community Structures of a City From Public Transportation Smart Card Data","display_name":"Comparative Examination of Network Clustering Methods for Extracting Community Structures of a City From Public Transportation Smart Card Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2937663287","doi":"https://doi.org/10.1109/access.2019.2911567","mag":"2937663287"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2911567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911567","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08692357.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08692357.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090276104","display_name":"Takashi Maeda","orcid":"https://orcid.org/0000-0003-2419-9280"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Nicholas Maeda","raw_affiliation_strings":["Tokyo Daigaku, Bunkyo-ku, Tokyo, JP"],"raw_orcid":"https://orcid.org/0000-0003-2419-9280","affiliations":[{"raw_affiliation_string":"Tokyo Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014750522","display_name":"Junichiro Mori","orcid":"https://orcid.org/0000-0002-9787-3857"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichiro Mori","raw_affiliation_strings":["Tokyo Daigaku, Bunkyo-ku, Tokyo, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113507125","display_name":"Izumi Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Izumi Hayashi","raw_affiliation_strings":["Tokyo Daigaku, Bunkyo-ku, Tokyo, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080568033","display_name":"Tetsuo Sakimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuo Sakimoto","raw_affiliation_strings":["Tokyo Daigaku, Bunkyo-ku, Tokyo, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071470375","display_name":"Ichiro Sakata","orcid":"https://orcid.org/0000-0001-5881-3790"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Sakata","raw_affiliation_strings":["Tokyo Daigaku, Bunkyo-ku, Tokyo, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1759,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87981005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"53377","last_page":"53391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.832746148109436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520416975021362},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6400966644287109},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.43995293974876404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203383684158325},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19676604866981506}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.832746148109436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520416975021362},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6400966644287109},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.43995293974876404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203383684158325},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19676604866981506}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2911567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911567","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08692357.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:128100d508314b1d86f973cddee0e7c9","is_oa":true,"landing_page_url":"https://doaj.org/article/128100d508314b1d86f973cddee0e7c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 53377-53391 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2911567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911567","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08692357.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2937663287.pdf","grobid_xml":"https://content.openalex.org/works/W2937663287.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1647225459","https://openalex.org/W1659247065","https://openalex.org/W1673310716","https://openalex.org/W1982300822","https://openalex.org/W1996221647","https://openalex.org/W2015480405","https://openalex.org/W2017161725","https://openalex.org/W2032273054","https://openalex.org/W2034636363","https://openalex.org/W2047940964","https://openalex.org/W2057206092","https://openalex.org/W2061308627","https://openalex.org/W2064489681","https://openalex.org/W2082257952","https://openalex.org/W2089458547","https://openalex.org/W2095293504","https://openalex.org/W2098162994","https://openalex.org/W2102289551","https://openalex.org/W2112738128","https://openalex.org/W2130476447","https://openalex.org/W2131681506","https://openalex.org/W2136715366","https://openalex.org/W2151936673","https://openalex.org/W2154056116","https://openalex.org/W2156457972","https://openalex.org/W2162833336","https://openalex.org/W2164998314","https://openalex.org/W2172422511","https://openalex.org/W2225223130","https://openalex.org/W2270746387","https://openalex.org/W2543061078","https://openalex.org/W3099768174","https://openalex.org/W3100427564","https://openalex.org/W3149700931","https://openalex.org/W6637131181","https://openalex.org/W6684050148"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Human":[0],"mobility":[1,78],"data":[2,9,16,79,139],"such":[3],"as":[4],"global":[5],"positioning":[6],"system":[7],"(GPS)":[8],"from":[10],"mobile":[11],"phones":[12],"and":[13,43,80,100,127,163,193,206],"smart":[14,137],"card":[15,138],"of":[17,26,40,63,74,97,103,105,130,132,140,150,157,166,173,190,199,212],"public":[18,141],"transportation":[19,142],"have":[20,31,68],"been":[21,86],"used":[22],"for":[23,59,115,146,160],"the":[24,41,92,98,101,122,125,128,148,194,203],"analysis":[25],"a":[27,182,200],"city.":[28],"Those":[29],"studies":[30,67],"attempted":[32,69],"to":[33,56,70],"create":[34],"networks":[35,58,162],"whose":[36,44],"nodes":[37],"represent":[38,46],"areas":[39,198],"city":[42,201],"edges":[45],"human":[47,77],"flows":[48],"between":[49,197],"areas.":[50],"Network":[51],"clustering":[52,82,118,168,176,185],"methods":[53,119,169],"are":[54],"applied":[55],"those":[57],"extracting":[60],"community":[61,72,210],"structures":[62,73,211],"cities.":[64,213],"Although":[65],"many":[66],"extract":[71],"cities":[75],"using":[76],"network":[81,117,167,175,184],"methods,":[83],"little":[84],"has":[85],"explored":[87],"about":[88,209],"which":[89],"method":[90,186],"is":[91],"most":[93,204],"effective,":[94],"in":[95,144],"terms":[96],"accuracy":[99],"amount":[102,129],"information":[104,131,208],"extracted":[106,133],"clusters.":[107,134],"In":[108],"this":[109],"paper,":[110],"we":[111],"propose":[112],"evaluation":[113],"metrics":[114],"evaluating":[116],"based":[120],"on":[121],"geographical":[123],"cohesiveness,":[124],"regularity,":[126],"We":[135,153],"use":[136],"collected":[143],"Japan":[145],"testing":[147],"effectiveness":[149],"each":[151,191],"method.":[152],"compare":[154],"two":[155,171],"types":[156,165,172],"origin-destination":[158],"matrices":[159],"constructing":[161],"four":[164],"including":[170],"bipartite":[174,183],"methods.":[177],"The":[178],"results":[179],"confirmed":[180],"that":[181],"considering":[187],"multi-facet":[188],"characteristics":[189],"cluster":[192],"functional":[195],"relations":[196],"shows":[202],"accurate":[205],"richest":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
