{"id":"https://openalex.org/W2964244136","doi":"https://doi.org/10.1080/13658816.2019.1630630","title":"STLP-GSM: a method to predict future locations of individuals based on geotagged social media data","display_name":"STLP-GSM: a method to predict future locations of individuals based on geotagged social media data","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2964244136","doi":"https://doi.org/10.1080/13658816.2019.1630630","mag":"2964244136"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2019.1630630","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2019.1630630","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/100689/1/Chen_Stlp-Gsm.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028526834","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0002-0856-7234"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-0856-7234","affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644664","display_name":"Wenzhong Shi","orcid":"https://orcid.org/0000-0002-3886-7027"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenzhong Shi","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3886-7027","affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047482337","display_name":"Xiaolin Zhou","orcid":"https://orcid.org/0000-0002-4115-5071"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaolin Zhou","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043453718","display_name":"Zhewei Liu","orcid":"https://orcid.org/0000-0002-4023-9142"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhewei Liu","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-4023-9142","affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055157490","display_name":"Xuandi Fu","orcid":"https://orcid.org/0000-0002-9922-6856"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xuandi Fu","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100644664"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":3.8942,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92233132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":"12","first_page":"2337","last_page":"2362"},"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":1.0,"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":1.0,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9887999892234802,"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":0.9818000197410583,"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":0.7013834118843079},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7009767293930054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5997591614723206},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5212239027023315},{"id":"https://openalex.org/keywords/dissemination","display_name":"Dissemination","score":0.5032307505607605},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4804534316062927},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.45064929127693176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36942529678344727},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36625388264656067},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09366446733474731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013834118843079},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7009767293930054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5997591614723206},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5212239027023315},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.5032307505607605},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4804534316062927},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.45064929127693176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36942529678344727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36625388264656067},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09366446733474731},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658816.2019.1630630","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2019.1630630","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/100689","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/100689","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/100689/1/Chen_Stlp-Gsm.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/100689","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/100689","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/100689/1/Chen_Stlp-Gsm.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2471367376","display_name":null,"funder_award_id":"1-ZVF2","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G411372703","display_name":null,"funder_award_id":"ITP/053/16LP","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"},{"id":"https://openalex.org/G4631324087","display_name":null,"funder_award_id":"2017YFB0503604","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6560831739","display_name":null,"funder_award_id":"1-ZEAB","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null},{"id":"https://openalex.org/F4320329815","display_name":"Hong Kong Government","ror":"https://ror.org/034179816"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964244136.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W22355324","https://openalex.org/W66477288","https://openalex.org/W151377110","https://openalex.org/W256129182","https://openalex.org/W1528308842","https://openalex.org/W1651166699","https://openalex.org/W1673310716","https://openalex.org/W1845748792","https://openalex.org/W1963905090","https://openalex.org/W1964461063","https://openalex.org/W1972243012","https://openalex.org/W1972436494","https://openalex.org/W1975957106","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W2015480405","https://openalex.org/W2047240862","https://openalex.org/W2054448337","https://openalex.org/W2059978726","https://openalex.org/W2063718055","https://openalex.org/W2066680326","https://openalex.org/W2068160960","https://openalex.org/W2075892055","https://openalex.org/W2077451659","https://openalex.org/W2084439171","https://openalex.org/W2092015178","https://openalex.org/W2095998117","https://openalex.org/W2097998348","https://openalex.org/W2099201756","https://openalex.org/W2100746011","https://openalex.org/W2104102526","https://openalex.org/W2104841477","https://openalex.org/W2108335620","https://openalex.org/W2108432893","https://openalex.org/W2110953678","https://openalex.org/W2113762652","https://openalex.org/W2135903405","https://openalex.org/W2138745909","https://openalex.org/W2151519001","https://openalex.org/W2153207204","https://openalex.org/W2158790265","https://openalex.org/W2164061616","https://openalex.org/W2176775513","https://openalex.org/W2202417969","https://openalex.org/W2250346704","https://openalex.org/W2288720442","https://openalex.org/W2294525046","https://openalex.org/W2355706562","https://openalex.org/W2368333387","https://openalex.org/W2499609862","https://openalex.org/W2523438800","https://openalex.org/W2539781657","https://openalex.org/W2546977805","https://openalex.org/W2585077751","https://openalex.org/W2601243251","https://openalex.org/W2604272474","https://openalex.org/W2609832296","https://openalex.org/W2746679283","https://openalex.org/W2751123435","https://openalex.org/W2754396422","https://openalex.org/W2767457504","https://openalex.org/W2785057145","https://openalex.org/W2832362786","https://openalex.org/W2963032487","https://openalex.org/W2993383518","https://openalex.org/W3098098882","https://openalex.org/W4212867045","https://openalex.org/W4237278029","https://openalex.org/W4247457900","https://openalex.org/W4255744423"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2374084962","https://openalex.org/W2978405156","https://openalex.org/W1976738710","https://openalex.org/W1574371370","https://openalex.org/W4248517311","https://openalex.org/W2131881665","https://openalex.org/W2314287148","https://openalex.org/W2975929853","https://openalex.org/W2249285054"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,23,41,76,184],"social":[4,81,104],"media":[5,82,105],"users":[6],"are":[7],"becoming":[8],"used":[9],"to":[10,96,115,134,142,166],"disseminate":[11],"activities":[12],"through":[13],"geotagged":[14,19,36,80],"posts.":[15],"The":[16],"massive":[17],"available":[18],"posts":[20,37],"enable":[21],"collections":[22],"users\u2019":[24,117,146],"footprints":[25],"over":[26,137],"time":[27],"and":[28,168],"offer":[29],"effective":[30],"opportunities":[31],"for":[32,38,72],"mobility":[33,126,147],"prediction.":[34],"Using":[35],"spatio-temporal":[39,118],"prediction":[40,53,75,162,172],"future":[42,73],"location,":[43],"however,":[44],"is":[45,68,112,132,174],"challenging.":[46],"Previous":[47],"studies":[48],"either":[49],"focus":[50],"on":[51,56,79,150],"next-place":[52],"or":[54],"rely":[55],"dense":[57],"data":[58],"sources":[59],"such":[60],"as":[61],"GPS":[62],"data.":[63,83],"Introduced":[64],"in":[65,145,161,181],"this":[66],"article":[67],"a":[69,103,158],"novel":[70],"method":[71,85,160],"location":[74],"individuals":[77],"based":[78],"This":[84],"employs":[86],"the":[87,98,139,143,154,182],"hierarchical":[88],"density-based":[89],"clustering":[90],"algorithm":[91],"with":[92,176],"adaptive":[93],"parameter":[94],"selection":[95],"identify":[97],"regions":[99],"frequently":[100],"visited":[101],"by":[102,120,164],"user.":[106],"A":[107],"multi-feature":[108],"weighted":[109],"Bayesian":[110],"model":[111,141],"then":[113],"developed":[114],"forecast":[116],"locations":[119],"combining":[121],"multiple":[122],"factors":[123],"affecting":[124],"human":[125],"patterns.":[127,148],"Further,":[128],"an":[129],"updating":[130],"strategy":[131],"designed":[133],"efficiently":[135],"adjust,":[136],"time,":[138],"proposed":[140,155],"dynamics":[144],"Based":[149],"two":[151],"real-life":[152],"datasets,":[153],"approach":[156],"outperforms":[157],"state-of-the-art":[159],"accuracy":[163],"up":[165],"5.34%":[167],"3.30%.":[169],"Tests":[170],"show":[171],"reliability":[173],"high":[175],"quality":[177],"predictions,":[178],"but":[179],"low":[180],"identification":[183],"erroneous":[185],"locations.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
