{"id":"https://openalex.org/W2085912544","doi":"https://doi.org/10.1117/12.2003519","title":"Time-based user-movement pattern analysis from location-based social network data","display_name":"Time-based user-movement pattern analysis from location-based social network data","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2085912544","doi":"https://doi.org/10.1117/12.2003519","mag":"2085912544"},"language":"en","primary_location":{"id":"doi:10.1117/12.2003519","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003519","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5037509090","display_name":"Huey Ling Chuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huey Ling Chuan","raw_affiliation_strings":["Carnegie Mellon Silicon Valley (United States)"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Silicon Valley (United States)","institution_ids":["https://openalex.org/I4210086253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073472161","display_name":"Isaraporn Kulkumjon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isaraporn Kulkumjon","raw_affiliation_strings":["Carnegie Mellon Silicon Valley (United States)"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Silicon Valley (United States)","institution_ids":["https://openalex.org/I4210086253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076304499","display_name":"Surbhi Dangi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Surbhi Dangi","raw_affiliation_strings":["Carnegie Mellon Silicon Valley (United States)"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Silicon Valley (United States)","institution_ids":["https://openalex.org/I4210086253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037509090"],"corresponding_institution_ids":["https://openalex.org/I4210086253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22054036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"8654","issue":null,"first_page":"86540R","last_page":"86540R"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9646000266075134,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396795511245728},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5146406888961792},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49301907420158386},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.465574711561203},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.43131518363952637},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.32946711778640747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396795511245728},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5146406888961792},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49301907420158386},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.465574711561203},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.43131518363952637},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.32946711778640747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2003519","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003519","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1528597731","https://openalex.org/W2110953678","https://openalex.org/W3123170084"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W1990545028","https://openalex.org/W2107786128","https://openalex.org/W2735469505","https://openalex.org/W4320063274","https://openalex.org/W4390482427","https://openalex.org/W3151710375"],"abstract_inverted_index":{"Virtual":[0],"social":[1],"interactions":[2],"play":[3],"an":[4],"increasingly":[5],"important":[6],"role":[7],"in":[8,91,156,167],"the":[9,22,28,45,56,79,85,111,121,132,135,140],"discovery":[10],"of":[11,24,30,38,75,87,93,110,125,134],"places":[12,31,80],"with":[13],"digital":[14],"recommendations.":[15],"Our":[16],"hypothesis":[17],"is":[18,128],"that":[19,89,101,107],"people":[20,106,115],"define":[21],"character":[23],"a":[25,35,66],"city":[26,112],"by":[27,78],"type":[29],"they":[32,81],"frequent.":[33,82],"With":[34],"brief":[36],"description":[37],"our":[39,59],"dataset,":[40],"anomalies":[41],"and":[42,113,158,172],"observations":[43,150],"about":[44],"data,":[46],"this":[47],"paper":[48],"delves":[49],"into":[50],"three":[51],"distinct":[52,102],"approaches":[53],"to":[54,120],"visualize":[55],"dataset":[57],"addressing":[58],"two":[60,94],"goals":[61],"of:":[62],"1.":[63],"Arriving":[64],"at":[65],"time-based":[67],"region":[68],"specific":[69],"recommendation":[70,160],"logic":[71],"for":[72,105,114,154,165],"different":[73],"types":[74],"users":[76,88],"classified":[77],"2.":[83],"Analyzing":[84],"behaviors":[86],"check-in":[90],"groups":[92],"or":[95],"more":[96],"people.":[97],"The":[98,123,149],"study":[99],"revealed":[100],"patterns":[103],"exist":[104],"are":[108,117],"residents":[109],"who":[116],"short-term":[118],"visitors":[119],"city.":[122],"frequency":[124],"visits,":[126],"however,":[127],"both":[129],"dependent":[130],"on":[131],"time":[133],"day":[136],"as":[137,139,162,164],"well":[138,163],"urban":[141,168],"area":[142],"itself":[143],"(e.g.":[144],"eateries,":[145],"offices,":[146],"local":[147],"attractions).":[148],"can":[151],"be":[152],"extended":[153],"application":[155],"food":[157],"travel":[159],"engines":[161],"research":[166],"analytics,":[169],"smart":[170],"cities":[171],"town":[173],"planning.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
