{"id":"https://openalex.org/W1984272552","doi":"https://doi.org/10.1145/2661829.2662039","title":"Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams","display_name":"Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1984272552","doi":"https://doi.org/10.1145/2661829.2662039","mag":"1984272552"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662039","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 International Conference on Conference on Information and Knowledge Management","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/A5102513266","display_name":"Yuto Yamaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuto Yamaguchi","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan",", University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":", University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025604052","display_name":"Toshiyuki Amagasa","orcid":"https://orcid.org/0000-0003-0595-2230"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyuki Amagasa","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan",", University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":", University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064322519","display_name":"Hiroyuki Kitagawa","orcid":"https://orcid.org/0000-0002-2984-2258"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Kitagawa","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan",", University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":", University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087937878","display_name":"Yohei Ikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohei Ikawa","raw_affiliation_strings":["IBM Research - Tokyo, Toyosu, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Toyosu, Japan","institution_ids":["https://openalex.org/I4210145865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102513266"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":7.2828,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96393356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1139","last_page":"1148"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9941999912261963,"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":0.9854999780654907,"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/inference","display_name":"Inference","score":0.9100247025489807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8191160559654236},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7425817847251892},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.648791491985321},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6210874319076538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.599863588809967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3634952902793884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36111652851104736},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11048537492752075},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07088598608970642}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.9100247025489807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8191160559654236},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7425817847251892},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.648791491985321},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6210874319076538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.599863588809967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3634952902793884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36111652851104736},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11048537492752075},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07088598608970642},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2662039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662039","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 International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2548151464","display_name":null,"funder_award_id":"242322","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8628659315","display_name":null,"funder_award_id":"Research and Development on Real World Big Data Integration and Analysis","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W50479354","https://openalex.org/W190008395","https://openalex.org/W201361503","https://openalex.org/W1479807131","https://openalex.org/W1495515969","https://openalex.org/W1550206324","https://openalex.org/W1982471600","https://openalex.org/W1989134410","https://openalex.org/W1994236950","https://openalex.org/W2007791237","https://openalex.org/W2018277822","https://openalex.org/W2038022961","https://openalex.org/W2054599409","https://openalex.org/W2057817918","https://openalex.org/W2069090820","https://openalex.org/W2081212507","https://openalex.org/W2124499489","https://openalex.org/W2140535046","https://openalex.org/W2142889507","https://openalex.org/W2149510050","https://openalex.org/W2151378814","https://openalex.org/W2151802055","https://openalex.org/W2153848201","https://openalex.org/W2167521368","https://openalex.org/W2167978925","https://openalex.org/W2168346693","https://openalex.org/W2188871609","https://openalex.org/W2532561422","https://openalex.org/W6607826182"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"The":[0,108,171,193],"location":[1,97,140],"profiles":[2],"of":[3,29,111,121,168,190,209,212],"social":[4,52,56,66,144],"media":[5,53,57],"users":[6,20,122],"are":[7,59],"valuable":[8],"for":[9,96],"various":[10],"applications,":[11],"such":[12],"as":[13,65],"marketing":[14],"and":[15,61,106,158,161],"real-world":[16],"analysis.":[17],"As":[18],"most":[19,42],"do":[21],"not":[22],"disclose":[23],"their":[24],"home":[25,31],"locations,":[26],"the":[27,82,88,101,119,148,183,198,210],"problem":[28],"inferring":[30],"locations":[32,120],"has":[33],"been":[34],"well":[35],"studied":[36],"in":[37,63,133,205],"recent":[38],"years.":[39],"In":[40,68],"fact,":[41],"existing":[43,169,191],"methods":[44],"perform":[45],"batch":[46],"inference":[47,78,98,141,164,184,203],"using":[48,174],"static":[49],"(i.e.,":[50],"pre-stored)":[51],"contents.":[54,214],"However,":[55],"contents":[58,85,105],"generated":[60],"delivered":[62],"real-time":[64],"streams.":[67],"this":[69,112,134],"situation,":[70],"it":[71,93],"is":[72,94,114],"important":[73],"to":[74,86,99,186],"continuously":[75],"update":[76,202],"current":[77],"results":[79,89,173,194,204],"based":[80],"on":[81],"newly":[83],"arriving":[84],"improve":[87],"over":[90,143],"time.":[91],"Moreover,":[92],"effective":[95],"use":[100],"spatiotemporal":[102,149],"correlation":[103],"between":[104],"locations.":[107],"main":[109],"idea":[110],"paper":[113],"that":[115,146,167,179,197],"we":[116,136],"can":[117,201],"infer":[118],"who":[123],"simultaneously":[124],"post":[125],"about":[126],"a":[127,175],"local":[128],"event":[129],"(e.g.,":[130],"earthquakes).":[131],"Hence,":[132],"paper,":[135],"propose":[137],"an":[138],"online":[139],"method":[142,181,200],"streams":[145],"exploits":[147],"correlation,":[150],"achieving":[151],"1)":[152],"continuous":[153],"updates":[154],"with":[155],"low":[156],"computational":[157],"storage":[159],"costs,":[160],"2)":[162],"better":[163],"accuracy":[165],"than":[166,188],"methods.":[170,192],"experimental":[172],"Twitter":[176],"dataset":[177],"show":[178,196],"our":[180],"reduces":[182],"error":[185],"less":[187],"68%":[189],"also":[195],"proposed":[199],"constant":[206],"time":[207],"regardless":[208],"amount":[211],"accumulated":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}