{"id":"https://openalex.org/W4399644979","doi":"https://doi.org/10.1080/10095020.2024.2356243","title":"Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data","display_name":"Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399644979","doi":"https://doi.org/10.1080/10095020.2024.2356243"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2024.2356243","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2356243","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2356243?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2356243?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072289834","display_name":"Qiliang Liu","orcid":"https://orcid.org/0000-0002-4684-8504"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiliang Liu","raw_affiliation_strings":["Central South University","Department of Geo-informatics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053895922","display_name":"Zexin Lu","orcid":"https://orcid.org/0009-0001-8196-5909"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexin Lu","raw_affiliation_strings":["Central South University","Department of Geo-informatics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091832917","display_name":"Weihua Huan","orcid":"https://orcid.org/0009-0004-1347-4587"},"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":"Weihua Huan","raw_affiliation_strings":["Tongji University","College of Surveying and Geo-informatics, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066299743","display_name":"Chong Fan","orcid":"https://orcid.org/0000-0001-7056-4467"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Fan","raw_affiliation_strings":["Central South University","Department of Geo-informatics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066299743"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":3.3979,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90819348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"3","first_page":"1255","last_page":"1279"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9926999807357788,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.949999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7386425137519836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363426685333252},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5922422409057617},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.5242395997047424},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5227082967758179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4987599849700928},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4618906080722809},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4222312569618225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4102732539176941},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11329397559165955}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7386425137519836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363426685333252},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5922422409057617},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.5242395997047424},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5227082967758179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4987599849700928},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4618906080722809},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4222312569618225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4102732539176941},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11329397559165955},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2024.2356243","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2356243","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2356243?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:24b047d5a68847cb8efdf6729495ed8f","is_oa":true,"landing_page_url":"https://doaj.org/article/24b047d5a68847cb8efdf6729495ed8f","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Geo-spatial Information Science, Vol 28, Iss 3, Pp 1255-1279 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2024.2356243","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2356243","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2356243?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399644979.pdf"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1480376833","https://openalex.org/W1680622244","https://openalex.org/W1845798005","https://openalex.org/W1907775068","https://openalex.org/W1987228002","https://openalex.org/W1990444226","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2019448438","https://openalex.org/W2023596329","https://openalex.org/W2088025572","https://openalex.org/W2088722350","https://openalex.org/W2110673348","https://openalex.org/W2112620321","https://openalex.org/W2132914434","https://openalex.org/W2147527908","https://openalex.org/W2153207204","https://openalex.org/W2154415691","https://openalex.org/W2162891889","https://openalex.org/W2165874743","https://openalex.org/W2245546692","https://openalex.org/W2247062920","https://openalex.org/W2534538876","https://openalex.org/W2577472518","https://openalex.org/W2708165930","https://openalex.org/W2740464254","https://openalex.org/W2741078791","https://openalex.org/W2754939259","https://openalex.org/W2787885212","https://openalex.org/W2788811707","https://openalex.org/W2807894531","https://openalex.org/W2809506935","https://openalex.org/W2898233200","https://openalex.org/W2902921501","https://openalex.org/W2904703694","https://openalex.org/W2904849495","https://openalex.org/W2911660248","https://openalex.org/W2942834702","https://openalex.org/W2950798627","https://openalex.org/W2951897416","https://openalex.org/W2962766617","https://openalex.org/W2963097326","https://openalex.org/W2963514026","https://openalex.org/W2964121744","https://openalex.org/W2981206386","https://openalex.org/W2987354670","https://openalex.org/W2988951636","https://openalex.org/W2999919926","https://openalex.org/W3005596500","https://openalex.org/W3014605128","https://openalex.org/W3023466812","https://openalex.org/W3034425668","https://openalex.org/W3036096213","https://openalex.org/W3043291562","https://openalex.org/W3132532642","https://openalex.org/W3150746439","https://openalex.org/W3160463773","https://openalex.org/W3161518043","https://openalex.org/W3163513764","https://openalex.org/W3163690249","https://openalex.org/W3197958969","https://openalex.org/W3206294656","https://openalex.org/W3209988630","https://openalex.org/W3212176979","https://openalex.org/W4206603952","https://openalex.org/W4221005846","https://openalex.org/W4225473713","https://openalex.org/W4236965008","https://openalex.org/W4248949446","https://openalex.org/W4281558286","https://openalex.org/W4281565777","https://openalex.org/W4294170691","https://openalex.org/W4296569593","https://openalex.org/W4302603106","https://openalex.org/W4310794237","https://openalex.org/W4312459443","https://openalex.org/W4318819318","https://openalex.org/W4376614590","https://openalex.org/W6682991666","https://openalex.org/W6684578312","https://openalex.org/W6685357932"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3000097931","https://openalex.org/W3031731056","https://openalex.org/W2354322770","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807"],"abstract_inverted_index":{"Multi-source":[0],"social":[1,46,60],"sensing":[2,47,61],"data":[3,22,62,86,118,134],"provide":[4],"new":[5],"opportunities":[6],"to":[7,25,28,43,83,155,162],"identify":[8,163],"urban":[9,34,164,200],"functions":[10],"from":[11],"the":[12,49,100,107,112,123,127,132,148,151,185],"perspective":[13],"of":[14,33,52,106,114,117,131,150,176,199],"human":[15],"activity.":[16],"The":[17,179],"information":[18],"embedded":[19],"in":[20,167],"multi-source":[21,45,59,85,133],"typically":[23],"needs":[24],"be":[26],"fused":[27,138],"obtain":[29,156,195],"a":[30,88,140,196],"comprehensive":[31,197],"view":[32],"functions.":[35],"Although":[36],"multi-view":[37,72,191],"clustering":[38,74,153,157],"has":[39],"been":[40],"successfully":[41],"used":[42,146],"fuse":[44],"data,":[48],"adaptive":[50,70],"determination":[51],"fusion":[53],"weights":[54],"for":[55],"high-dimensional":[56],"and":[57,92,103,137,174,189],"noisy":[58],"remains":[63],"challenging.":[64],"Therefore,":[65],"this":[66],"study":[67],"proposes":[68],"an":[69],"weighted":[71,136],"subspace":[73,142],"(AWMSC)":[75],"method.":[76],"First,":[77],"we":[78],"use":[79],"two":[80],"neural":[81],"networks":[82],"map":[84],"into":[87,139],"common":[89],"latent":[90,95,129],"representation":[91],"multiple":[93],"specific":[94,128],"representations,":[96],"which":[97,144,203],"serve":[98],"as":[99,147],"query":[101],"vector":[102],"input":[104,149],"vectors":[105],"attention":[108,124],"mechanism,":[109],"respectively.":[110],"Then,":[111],"weight":[113],"each":[115],"type":[116],"is":[119,145,160],"calculated":[120],"based":[121],"on":[122],"mechanism.":[125],"Finally,":[126],"representations":[130],"are":[135],"shared":[141],"representation,":[143],"spectral":[152],"algorithm":[154],"results.":[158],"AWMSC":[159,183,193],"applied":[161],"functional":[165,201],"zones":[166,202],"Beijing":[168],"using":[169],"bus":[170],"transactions,":[171],"taxi":[172],"trajectories,":[173],"points":[175],"interest":[177],"datasets.":[178],"results":[180],"show":[181],"that":[182],"outperforms":[184],"typical":[186],"single-view,":[187],"weighted-average,":[188],"representative":[190],"methods.":[192],"can":[194],"understanding":[198],"may":[204],"help":[205],"government":[206],"departments":[207],"make":[208],"more":[209],"accurate":[210],"strategic":[211],"decisions.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}