{"id":"https://openalex.org/W2795027053","doi":"https://doi.org/10.1145/3191778","title":"Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data","display_name":"Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data","publication_year":2018,"publication_date":"2018-03-26","ids":{"openalex":"https://openalex.org/W2795027053","doi":"https://doi.org/10.1145/3191778","mag":"2795027053"},"language":"en","primary_location":{"id":"doi:10.1145/3191778","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191778","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-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/A5062365263","display_name":"Fengli Xu","orcid":"https://orcid.org/0000-0002-5720-4026"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040747504","display_name":"Xia Tong","orcid":"https://orcid.org/0000-0002-6994-6318"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xia","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023364449","display_name":"Hancheng Cao","orcid":"https://orcid.org/0000-0001-7231-1076"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hancheng Cao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439558","display_name":"Funing Sun","orcid":"https://orcid.org/0000-0002-1388-4541"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Funing Sun","raw_affiliation_strings":["Tencent Inc. Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc. Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801123","display_name":"Fanchao Meng","orcid":"https://orcid.org/0000-0003-3005-6649"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanchao Meng","raw_affiliation_strings":["Tencent Inc. Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc. Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.9617,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97929297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"25"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6607927680015564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345840096473694},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5315584540367126},{"id":"https://openalex.org/keywords/temporal-scales","display_name":"Temporal scales","score":0.5011041164398193},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4901150166988373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37191489338874817},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2825237512588501},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1697712242603302},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08743861317634583}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6607927680015564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345840096473694},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5315584540367126},{"id":"https://openalex.org/C2777489503","wikidata":"https://www.wikidata.org/wiki/Q7698936","display_name":"Temporal scales","level":2,"score":0.5011041164398193},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4901150166988373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37191489338874817},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2825237512588501},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1697712242603302},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08743861317634583},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3191778","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191778","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4403844069","display_name":null,"funder_award_id":"61621091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1964717191","https://openalex.org/W1981398125","https://openalex.org/W1987228002","https://openalex.org/W1992419399","https://openalex.org/W1996134775","https://openalex.org/W2012580531","https://openalex.org/W2027047167","https://openalex.org/W2045522464","https://openalex.org/W2066882130","https://openalex.org/W2074466695","https://openalex.org/W2077451659","https://openalex.org/W2100865694","https://openalex.org/W2108196201","https://openalex.org/W2115639613","https://openalex.org/W2140251882","https://openalex.org/W2146799928","https://openalex.org/W2147823615","https://openalex.org/W2153207204","https://openalex.org/W2164061616","https://openalex.org/W2165835468","https://openalex.org/W2171634212","https://openalex.org/W2172211955","https://openalex.org/W2208299404","https://openalex.org/W2222512263","https://openalex.org/W2397891592","https://openalex.org/W2505513978","https://openalex.org/W2513226432","https://openalex.org/W2604230684","https://openalex.org/W2788134583","https://openalex.org/W2951527381","https://openalex.org/W3038014812","https://openalex.org/W3122153094","https://openalex.org/W4244928213","https://openalex.org/W4292692470"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4360995134","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2987583674"],"abstract_inverted_index":{"With":[0],"the":[1,7,39,72,77,100,110,114,129,170,173,205,225,241,257],"rapid":[2],"process":[3],"of":[4,21,41,57,80,103,109,162],"urbanization,":[5],"revealing":[6],"underlying":[8],"mechanisms":[9,258],"behind":[10,259],"urban":[11,22,92,260],"mobility":[12,93,175,196,212],"has":[13],"become":[14],"a":[15,54,104,107,158],"crucial":[16],"research":[17],"problem.":[18],"The":[19],"movements":[20],"dwellers":[23],"are":[24,121],"often":[25],"constituted":[26],"by":[27],"their":[28,44],"daily":[29],"routines,":[30],"and":[31,34,84,94,136,183,220,228,245],"exhibit":[32],"distinct":[33],"contextual":[35],"temporal":[36,60,74,101,130,141,181,186,207,243],"modes,":[37,182],"i.e.,":[38],"patterns":[40],"individuals":[42,138],"allocating":[43],"time":[45,111,115],"across":[46],"different":[47,145],"locations.":[48],"In":[49],"this":[50,154],"paper,":[51],"we":[52,98,156,198],"investigate":[53],"novel":[55],"problem":[56],"detecting":[58],"popular":[59,185,206,242],"modes":[61,75,131,142,187,208,244],"in":[62,172,210],"population-scale":[63,211],"unlabelled":[64],"trajectory":[65,105],"data.":[66],"Our":[67],"key":[68],"finding":[69],"is":[70,85,215],"that":[71,168,200],"detected":[73],"capture":[76],"semantic":[78],"feature":[79],"human's":[81],"living":[82],"style,":[83],"able":[86],"to":[87,148,217],"unravel":[88],"meaningful":[89],"correlations":[90,239],"between":[91,240],"human":[95],"behavior.":[96],"Specifically,":[97],"represent":[99],"mode":[102],"as":[106],"partition":[108],"duration,":[112],"where":[113],"slices":[116],"associated":[117,226],"with":[118,139],"same":[119,124],"locations":[120,147],"partitioned":[122],"into":[123],"subsets.":[125],"Such":[126],"abstraction":[127],"decouples":[128],"from":[132],"actual":[133],"physical":[134,146],"locations,":[135],"allows":[137],"similar":[140,150],"yet":[143],"completely":[144],"have":[149],"representations.":[151],"Based":[152],"on":[153,193,256],"insight,":[155],"propose":[157],"pipeline":[159],"system":[160,192,202],"composed":[161],"three":[163,194],"components:":[164],"1)":[165],"noise":[166],"handler":[167],"eliminates":[169],"noises":[171],"raw":[174],"records,":[176],"2)":[177],"representation":[178],"extractor":[179],"for":[180],"3)":[184],"detector.":[188],"By":[189],"applying":[190],"our":[191,201,234],"real-world":[195],"datasets,":[197,213],"demonstrate":[199],"effectively":[203],"detects":[204],"embedded":[209],"which":[214,253],"easy":[216],"be":[218,222],"interpreted":[219],"can":[221],"justified":[223],"through":[224],"PoIs":[227],"mobile":[229],"applications":[230],"usage.":[231],"More":[232],"importantly,":[233],"further":[235],"experiments":[236],"reveal":[237],"insightful":[238],"individuals'":[246],"social":[247],"economic":[248],"status,":[249],"i.e.":[250],"occupation":[251],"information,":[252],"sheds":[254],"light":[255],"mobility.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}