{"id":"https://openalex.org/W2744457212","doi":"https://doi.org/10.1145/3097983.3098067","title":"Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes","display_name":"Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes","publication_year":2017,"publication_date":"2017-08-04","ids":{"openalex":"https://openalex.org/W2744457212","doi":"https://doi.org/10.1145/3097983.3098067","mag":"2744457212"},"language":"en","primary_location":{"id":"doi:10.1145/3097983.3098067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5100399584","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0003-1075-0684"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607490","display_name":"Guannan Liu","orcid":"https://orcid.org/0000-0002-4532-7109"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082454668","display_name":"Wenqing Hu","orcid":"https://orcid.org/0000-0002-6116-9104"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]},{"id":"https://openalex.org/I208333798","display_name":"University of Missouri\u2013St. Louis","ror":"https://ror.org/037cnag11","country_code":"US","type":"education","lineage":["https://openalex.org/I208333798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenqing Hu","raw_affiliation_strings":["Missouri University of Science and Technology, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, St. Louis, MO, USA","institution_ids":["https://openalex.org/I208333798","https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100399584"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":13.022,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.9923583,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9848999977111816,"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":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506091594696045},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6505923271179199},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5887025594711304},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5500581860542297},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.44313135743141174},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4389881193637848},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4352640211582184},{"id":"https://openalex.org/keywords/individual-mobility","display_name":"Individual mobility","score":0.4117528796195984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35790783166885376},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32863926887512207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25987738370895386},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.21779289841651917},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.18719524145126343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16843003034591675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09685030579566956},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08600059151649475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08486586809158325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506091594696045},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6505923271179199},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5887025594711304},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5500581860542297},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.44313135743141174},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4389881193637848},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4352640211582184},{"id":"https://openalex.org/C2778068325","wikidata":"https://www.wikidata.org/wiki/Q19892785","display_name":"Individual mobility","level":2,"score":0.4117528796195984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35790783166885376},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32863926887512207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25987738370895386},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.21779289841651917},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.18719524145126343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16843003034591675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09685030579566956},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08600059151649475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08486586809158325},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3097983.3098067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1967461079","https://openalex.org/W1972882261","https://openalex.org/W1973168503","https://openalex.org/W1976190129","https://openalex.org/W1982978808","https://openalex.org/W1988726303","https://openalex.org/W1992323181","https://openalex.org/W1996851706","https://openalex.org/W1998451808","https://openalex.org/W2002413290","https://openalex.org/W2012084072","https://openalex.org/W2025766355","https://openalex.org/W2028944227","https://openalex.org/W2039350330","https://openalex.org/W2049952439","https://openalex.org/W2069849731","https://openalex.org/W2073795924","https://openalex.org/W2074020083","https://openalex.org/W2075108274","https://openalex.org/W2076775688","https://openalex.org/W2112056172","https://openalex.org/W2112738128","https://openalex.org/W2126194848","https://openalex.org/W2127434196","https://openalex.org/W2128914432","https://openalex.org/W2137644567","https://openalex.org/W2153207204","https://openalex.org/W2154643661","https://openalex.org/W2164067128","https://openalex.org/W2165991108","https://openalex.org/W2171442490","https://openalex.org/W2184407187","https://openalex.org/W2336875440","https://openalex.org/W2537003471","https://openalex.org/W3007327886","https://openalex.org/W3121790145","https://openalex.org/W3122471732","https://openalex.org/W4231561454","https://openalex.org/W4299828299","https://openalex.org/W6686467043"],"related_works":["https://openalex.org/W3045540481","https://openalex.org/W2172042298","https://openalex.org/W88288537","https://openalex.org/W2505055246","https://openalex.org/W2903825916","https://openalex.org/W3015145336","https://openalex.org/W2605954836","https://openalex.org/W3003964056","https://openalex.org/W3010954196","https://openalex.org/W4287825744"],"abstract_inverted_index":{"While":[0],"exploring":[1],"human":[2,37,55,96,187],"mobility":[3,38,56,97,188],"can":[4,101,140],"benefit":[5],"many":[6],"applications":[7],"such":[8],"as":[9,73,193],"smart":[10],"transportation,":[11],"city":[12],"planning,":[13],"and":[14,49,65,69,151,211,242,245],"urban":[15,43,123],"economics,":[16],"there":[17],"are":[18,130],"two":[19,109],"key":[20],"questions":[21],"that":[22,108,154,164],"need":[23],"to":[24,47,77,104,176,214],"be":[25,102,141],"answered:":[26],"(i)":[27],"What":[28],"is":[29,191,204],"the":[30,33,51,78,92,106,127,144,149,178,186,198,201,216,222,246,251,254],"nature":[31],"of":[32,36,54,147,167,218,253],"spatial":[34],"diffusion":[35],"across":[39,88],"regions":[40,90,110],"with":[41,135,171,181],"different":[42,89],"functions?":[44],"(ii)":[45],"How":[46],"spot":[48],"trace":[50],"trip":[52,137,183],"purposes":[53],"trajectories?":[57],"To":[58,153],"answer":[59],"these":[60],"questions,":[61],"we":[62,159,225,235],"study":[63],"large-scale":[64],"city-wide":[66],"taxi":[67],"trajectories;":[68],"furtherly":[70],"organize":[71],"them":[72],"arrival":[74,80,93,113,128,133,179],"sequences":[75,129,180],"according":[76],"chronological":[79],"time.":[81],"We":[82],"figure":[83],"out":[84],"an":[85,227],"important":[86],"property":[87],"from":[91],"sequences,":[94],"namely":[95],"synchronization":[98,189,195],"effect,":[99],"which":[100,139],"exploited":[103],"explain":[105],"phenomenon":[107],"have":[111,249],"similar":[112,122],"patterns":[114],"in":[115,156,197,221],"particular":[116],"time":[117],"periods":[118],"if":[119],"they":[120],"share":[121],"functions.":[124],"In":[125],"addition,":[126],"mixed":[131,182],"by":[132,143,206],"events":[134],"distinct":[136],"purposes,":[138],"revealed":[142],"regional":[145,202],"environment":[146,203],"both":[148],"origins":[150],"destinations.":[152],"end,":[155],"this":[157],"paper,":[158],"develop":[160],"a":[161,172,194],"joint":[162],"model":[163,175],"integrates":[165],"Mixture":[166],"Hawkes":[168],"Process":[169],"(MHP)":[170],"hierarchical":[173],"topic":[174],"capture":[177],"purposes.":[184],"Essentially,":[185],"effect":[190],"encoded":[192],"rate":[196],"MHP;":[199],"while":[200],"modeled":[205],"introducing":[207],"latent":[208],"Trip":[209],"Purpose":[210],"POI":[212],"Topic":[213],"generate":[215],"Point":[217],"Interests":[219],"(POIs)":[220],"regions.":[223],"Moreover,":[224],"provide":[226],"effective":[228],"inference":[229],"algorithm":[230],"for":[231],"parameter":[232],"learning.":[233],"Finally,":[234],"conduct":[236],"intensive":[237],"experiments":[238],"on":[239],"synthetic":[240],"data":[241],"real-world":[243],"data,":[244],"experimental":[247],"results":[248],"demonstrated":[250],"effectiveness":[252],"proposed":[255],"model.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}