{"id":"https://openalex.org/W2831678974","doi":"https://doi.org/10.1007/s41109-018-0075-2","title":"Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas","display_name":"Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas","publication_year":2018,"publication_date":"2018-07-09","ids":{"openalex":"https://openalex.org/W2831678974","doi":"https://doi.org/10.1007/s41109-018-0075-2","mag":"2831678974"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-018-0075-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0075-2","pdf_url":"https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-018-0075-2","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-018-0075-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053021349","display_name":"Takayasu Fushimi","orcid":"https://orcid.org/0000-0003-3448-8182"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takayasu Fushimi","raw_affiliation_strings":["Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji city, Tokyo, 192\u20130982, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji city, Tokyo, 192\u20130982, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121106","display_name":"Kazumi Saito","orcid":"https://orcid.org/0000-0002-8972-5002"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]},{"id":"https://openalex.org/I150240954","display_name":"University of Shizuoka","ror":"https://ror.org/04rvw0k47","country_code":"JP","type":"education","lineage":["https://openalex.org/I150240954"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazumi Saito","raw_affiliation_strings":["Center for Advanced Intelligence Project, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan","Kanagawa University, 2946 Tsuchiya, Hiratsuka city, Kanagawa, 259\u20131293, Japan","University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka city, Shizuoka, 422\u20138526, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Kanagawa University, 2946 Tsuchiya, Hiratsuka city, Kanagawa, 259\u20131293, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka city, Shizuoka, 422\u20138526, Japan","institution_ids":["https://openalex.org/I150240954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090842766","display_name":"Tetsuo Ikeda","orcid":"https://orcid.org/0000-0002-1193-6707"},"institutions":[{"id":"https://openalex.org/I150240954","display_name":"University of Shizuoka","ror":"https://ror.org/04rvw0k47","country_code":"JP","type":"education","lineage":["https://openalex.org/I150240954"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuo Ikeda","raw_affiliation_strings":["University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka city, Shizuoka, 422\u20138526, Japan"],"affiliations":[{"raw_affiliation_string":"University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka city, Shizuoka, 422\u20138526, Japan","institution_ids":["https://openalex.org/I150240954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113443954","display_name":"Kazuhiro Kazama","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kazama","raw_affiliation_strings":["Wakayama University, 930 Sakaedani, Wakayama city, Wakayama, 640\u20138510, Japan"],"affiliations":[{"raw_affiliation_string":"Wakayama University, 930 Sakaedani, Wakayama city, Wakayama, 640\u20138510, Japan","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053021349"],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.1544,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.48023493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9943000078201294,"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":0.9943000078201294,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9864000082015991,"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/T11106","display_name":"Data Management and Algorithms","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8104859590530396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353031635284424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6333094835281372},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.610142707824707},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.5312727689743042},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5247926115989685},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.43982934951782227},{"id":"https://openalex.org/keywords/k-medoids","display_name":"k-medoids","score":0.43694180250167847},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4224906861782074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4017208218574524},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.32160958647727966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23030656576156616},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.20374327898025513},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13838240504264832}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8104859590530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353031635284424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6333094835281372},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.610142707824707},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.5312727689743042},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5247926115989685},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.43982934951782227},{"id":"https://openalex.org/C65932786","wikidata":"https://www.wikidata.org/wiki/Q3191282","display_name":"k-medoids","level":5,"score":0.43694180250167847},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4224906861782074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4017208218574524},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.32160958647727966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23030656576156616},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.20374327898025513},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13838240504264832},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41109-018-0075-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0075-2","pdf_url":"https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-018-0075-2","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0fef81425e764e8e879ddc59ccf13794","is_oa":true,"landing_page_url":"https://doaj.org/article/0fef81425e764e8e879ddc59ccf13794","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 3, Iss 1, Pp 1-14 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-018-0075-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0075-2","pdf_url":"https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-018-0075-2","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2831678974.pdf","grobid_xml":"https://content.openalex.org/works/W2831678974.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W20283408","https://openalex.org/W325597738","https://openalex.org/W1530581016","https://openalex.org/W1970238092","https://openalex.org/W1970615697","https://openalex.org/W1982469530","https://openalex.org/W1992028263","https://openalex.org/W1992474930","https://openalex.org/W1996509894","https://openalex.org/W2001325956","https://openalex.org/W2001668185","https://openalex.org/W2007606139","https://openalex.org/W2017099446","https://openalex.org/W2021969955","https://openalex.org/W2028126649","https://openalex.org/W2057685268","https://openalex.org/W2070857404","https://openalex.org/W2076019109","https://openalex.org/W2076271421","https://openalex.org/W2097820631","https://openalex.org/W2109691503","https://openalex.org/W2112615110","https://openalex.org/W2125050594","https://openalex.org/W2134280081","https://openalex.org/W2141403143","https://openalex.org/W2148606255","https://openalex.org/W2164928285","https://openalex.org/W2168346701","https://openalex.org/W2185067630","https://openalex.org/W2557188626","https://openalex.org/W2585187023","https://openalex.org/W2769134261","https://openalex.org/W2794396578","https://openalex.org/W2995430951","https://openalex.org/W3101290021"],"related_works":["https://openalex.org/W3133849001","https://openalex.org/W1481798977","https://openalex.org/W2380053301","https://openalex.org/W4225615903","https://openalex.org/W2143329214","https://openalex.org/W2758138366","https://openalex.org/W2605300748","https://openalex.org/W2393988099","https://openalex.org/W2088480663","https://openalex.org/W2100425112"],"abstract_inverted_index":{"Dividing":[0],"a":[1,53,69,94,112,171],"geographical":[2],"region":[3],"into":[4,121],"some":[5],"subregions":[6],"with":[7,130],"common":[8],"characteristics":[9],"is":[10,143,150],"an":[11,127],"important":[12],"research":[13,21],"topic,":[14],"and":[15,27,116,193],"has":[16],"been":[17],"studied":[18],"in":[19],"many":[20,83],"fields":[22],"such":[23],"as":[24],"urban":[25,176],"planning":[26],"transportation":[28],"planning.":[29],"In":[30,152],"this":[31,57,88,134,153,157],"paper,":[32,154],"by":[33],"network":[34,106,115,129,149],"analysis":[35],"approach,":[36],"we":[37,59,90,125,155,178],"attempt":[38],"to":[39,75,145,159],"extract":[40],"functionally":[41,49],"similar":[42,50,131],"regions,":[43],"each":[44],"of":[45,48,52,72,111,166,186,190],"which":[46,67,148],"consists":[47],"nodes":[51,120],"road":[54],"network.":[55,173],"For":[56],"purpose,":[58],"previously":[60,92,113],"proposed":[61,93,181],"the":[62,104,108,119,163,184,187],"Functional":[63],"Cluster":[64],"Extraction":[65],"method,":[66],"takes":[68],"large":[70],"amount":[71],"computation":[73,194],"time":[74],"output":[76],"clustering":[77,97,139,191],"results":[78],"because":[79],"it":[80,142],"treats":[81],"too":[82],"high-dimensional":[84],"vectors.":[85],"To":[86],"overcome":[87],"difficulty,":[89],"also":[91],"transfer":[95],"learning-based":[96],"method":[98,135,158,182],"that":[99],"selects":[100],"approximate":[101],"medoids":[102,110,165],"from":[103,183],"target":[105],"using":[107,162],"K":[109,122,164],"clustered":[114],"divides":[117],"all":[118],"clusters.":[123],"If":[124],"select":[126],"appropriate":[128],"structural":[132],"characteristics,":[133],"produces":[136],"highly":[137],"accurate":[138],"results.":[140],"However":[141],"difficult":[144],"preliminarily":[146],"know":[147],"appropriate.":[151],"extend":[156],"ensure":[160],"accuracy":[161,192],"multiple":[167],"networks":[168],"rather":[169],"than":[170],"specific":[172],"Using":[174],"actual":[175],"streets,":[177],"evaluate":[179],"our":[180],"viewpoint":[185],"improvement":[188],"degree":[189],"time.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-16T09:10:04.655348","created_date":"2025-10-10T00:00:00"}