{"id":"https://openalex.org/W2984807941","doi":"https://doi.org/10.1140/epjds/s13688-019-0212-x","title":"From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data","display_name":"From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data","publication_year":2019,"publication_date":"2019-11-14","ids":{"openalex":"https://openalex.org/W2984807941","doi":"https://doi.org/10.1140/epjds/s13688-019-0212-x","mag":"2984807941"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-019-0212-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0212-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0212-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0212-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026869641","display_name":"Yuan Liao","orcid":"https://orcid.org/0000-0002-6982-1654"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yuan Liao","raw_affiliation_strings":["Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-6982-1654","affiliations":[{"raw_affiliation_string":"Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029945844","display_name":"Sonia Yeh","orcid":"https://orcid.org/0000-0002-4852-1177"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sonia Yeh","raw_affiliation_strings":["Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047792467","display_name":"Gustavo S. Jeuken","orcid":"https://orcid.org/0000-0002-4438-2325"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustavo S. Jeuken","raw_affiliation_strings":["School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026869641"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":7.6056,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.96454918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9922999739646912,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.8184531331062317},{"id":"https://openalex.org/keywords/globe","display_name":"Globe","score":0.7060610055923462},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6461901068687439},{"id":"https://openalex.org/keywords/human-dynamics","display_name":"Human dynamics","score":0.5780665278434753},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5571609139442444},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5518791675567627},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5092946290969849},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4926007390022278},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4793008863925934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4487190246582031},{"id":"https://openalex.org/keywords/geographic-mobility","display_name":"Geographic mobility","score":0.42547327280044556},{"id":"https://openalex.org/keywords/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.4245941936969757},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.41140297055244446},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3201276659965515},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2008260190486908},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18609625101089478},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1708860993385315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14859038591384888},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1444052755832672},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12865573167800903},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.11090916395187378}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.8184531331062317},{"id":"https://openalex.org/C2775899829","wikidata":"https://www.wikidata.org/wiki/Q3109007","display_name":"Globe","level":2,"score":0.7060610055923462},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6461901068687439},{"id":"https://openalex.org/C151915977","wikidata":"https://www.wikidata.org/wiki/Q5937740","display_name":"Human dynamics","level":2,"score":0.5780665278434753},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5571609139442444},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5518791675567627},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5092946290969849},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4926007390022278},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4793008863925934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4487190246582031},{"id":"https://openalex.org/C76944698","wikidata":"https://www.wikidata.org/wiki/Q204671","display_name":"Geographic mobility","level":3,"score":0.42547327280044556},{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.4245941936969757},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.41140297055244446},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3201276659965515},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2008260190486908},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18609625101089478},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1708860993385315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14859038591384888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1444052755832672},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12865573167800903},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.11090916395187378},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1140/epjds/s13688-019-0212-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0212-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0212-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:research.vu.nl:openaire/64906d70-7ec8-44fc-944a-7c6db185ab23","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/64906d70-7ec8-44fc-944a-7c6db185ab23","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Liao, Y, Yeh, S & Jeuken, G S 2019, 'From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data', EPJ Data Science, vol. 8, no. 1, 34, pp. 1-22. https://doi.org/10.1140/epjds/s13688-019-0212-x","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:805941235c3e464285831dd49851c3d2","is_oa":true,"landing_page_url":"https://doaj.org/article/805941235c3e464285831dd49851c3d2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 8, Iss 1, Pp 1-22 (2019)","raw_type":"article"},{"id":"pmh:oai:research.chalmers.se:513796","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/513796","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:513967","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/9bc479b2-4dce-46af-8c98-e4259f841def","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.vu.nl:openaire_cris_publications/64906d70-7ec8-44fc-944a-7c6db185ab23","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/64906d70-7ec8-44fc-944a-7c6db185ab23","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Liao, Y, Yeh, S & Jeuken, G S 2019, 'From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data', EPJ Data Science, vol. 8, no. 1, 34, pp. 1-22. https://doi.org/10.1140/epjds/s13688-019-0212-x","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-019-0212-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0212-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0212-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G8832864228","display_name":null,"funder_award_id":"2016-1326","funder_id":"https://openalex.org/F4320321033","funder_display_name":"Svenska Forskningsr\u00e5det Formas"}],"funders":[{"id":"https://openalex.org/F4320321033","display_name":"Svenska Forskningsr\u00e5det Formas","ror":"https://ror.org/03pjs1y45"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2984807941.pdf","grobid_xml":"https://content.openalex.org/works/W2984807941.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W109765122","https://openalex.org/W184758014","https://openalex.org/W401548239","https://openalex.org/W614651756","https://openalex.org/W617614393","https://openalex.org/W1521507142","https://openalex.org/W1673310716","https://openalex.org/W1804959266","https://openalex.org/W1912497050","https://openalex.org/W1967840600","https://openalex.org/W1971760847","https://openalex.org/W1972309850","https://openalex.org/W1976190129","https://openalex.org/W1978220319","https://openalex.org/W1982300822","https://openalex.org/W1985101747","https://openalex.org/W1986696010","https://openalex.org/W1987228002","https://openalex.org/W1987971958","https://openalex.org/W2013598124","https://openalex.org/W2016381774","https://openalex.org/W2016674662","https://openalex.org/W2018189426","https://openalex.org/W2018277822","https://openalex.org/W2022766478","https://openalex.org/W2052341645","https://openalex.org/W2056284729","https://openalex.org/W2069516633","https://openalex.org/W2071702404","https://openalex.org/W2079672634","https://openalex.org/W2079702731","https://openalex.org/W2097699073","https://openalex.org/W2106076422","https://openalex.org/W2125189556","https://openalex.org/W2133400794","https://openalex.org/W2134946452","https://openalex.org/W2139419377","https://openalex.org/W2160843879","https://openalex.org/W2167102709","https://openalex.org/W2167244281","https://openalex.org/W2196009790","https://openalex.org/W2341005045","https://openalex.org/W2345172924","https://openalex.org/W2487175822","https://openalex.org/W2565492514","https://openalex.org/W2597533437","https://openalex.org/W2621336275","https://openalex.org/W2734484180","https://openalex.org/W2766254866","https://openalex.org/W2767544505","https://openalex.org/W2769119083","https://openalex.org/W2799719836","https://openalex.org/W2806253265","https://openalex.org/W2810126030","https://openalex.org/W2813703984","https://openalex.org/W2891382305","https://openalex.org/W2904700371","https://openalex.org/W2913802893","https://openalex.org/W2948888510","https://openalex.org/W2949731435","https://openalex.org/W3105504214","https://openalex.org/W3165152895","https://openalex.org/W4232197496","https://openalex.org/W4242610568","https://openalex.org/W4285719527","https://openalex.org/W4300958603","https://openalex.org/W6966156589"],"related_works":["https://openalex.org/W2733029865","https://openalex.org/W1991837421","https://openalex.org/W2955098766","https://openalex.org/W2269136550","https://openalex.org/W3041947657","https://openalex.org/W2114948960","https://openalex.org/W1539266347","https://openalex.org/W2464857583","https://openalex.org/W2168598907","https://openalex.org/W3081248760"],"abstract_inverted_index":{"Abstract":[0],"This":[1,257],"paper":[2,278],"examines":[3],"the":[4,58,78,123,158,190,219,260,288],"population":[5,227],"heterogeneity":[6,79,261],"of":[7,14,26,41,80,89,117,122,129,203,221,262,276],"travel":[8,141,195,270],"behaviours":[9],"from":[10,192,246],"a":[11,22,73,193],"combined":[12],"perspective":[13],"individual":[15],"actors":[16],"and":[17,68,71,100,126,157,169,179,197,207,218,229,239,265,271,287],"collective":[18],"behaviours.":[19],"We":[20,60,84,187],"use":[21,61],"social":[23,133,290],"media":[24,134],"dataset":[25],"652,945":[27],"geotagged":[28,81,130,247],"tweets":[29],"generated":[30],"by":[31],"2,933":[32],"Swedish":[33],"Twitter":[34,233],"users":[35],"covering":[36],"an":[37],"average":[38],"time":[39],"span":[40],"3.6":[42],"years.":[43],"No":[44],"explicit":[45],"geographical":[46,66],"boundaries,":[47,54],"such":[48,64,110,149],"as":[49,65,111,144],"national":[50],"borders":[51],"or":[52],"administrative":[53],"are":[55,136],"applied":[56],"to":[57,76,160,226,253],"data.":[59,186,234],"spatial":[62,267],"features,":[63],"characteristics":[67],"network":[69],"properties,":[70],"apply":[72],"clustering":[74],"technique":[75],"reveal":[77],"activity":[82,248],"patterns.":[83,256],"find":[85,198,212],"four":[86],"distinct":[87,107],"groups":[88,105,264],"travellers:":[90],"local":[91,94],"explorers":[92,98],"(78.0%),":[93],"returners":[95,102],"(14.4%),":[96],"global":[97,101],"(7.3%),":[99],"(0.3%).":[103],"These":[104],"exhibit":[106],"mobility":[108,255,268],"characteristics,":[109],"trip":[112,204],"distance,":[113],"diffusion":[114],"process,":[115],"percentage":[116],"domestic":[118],"trips,":[119,223],"visiting":[120],"frequency":[121,220],"most-visited":[124],"locations,":[125],"total":[127],"number":[128],"locations.":[131],"Geotagged":[132],"data":[135,146,150,177,191],"gradually":[137],"being":[138],"incorporated":[139],"into":[140],"behaviour":[142,230],"studies":[143],"user-contributed":[145],"sources.":[147],"While":[148],"have":[151],"many":[152],"advantages,":[153],"including":[154,269],"easy":[155],"access":[156],"flexibility":[159],"capture":[161],"movements":[162],"across":[163],"multiple":[164],"scales":[165],"(individual,":[166],"city,":[167],"country,":[168],"globe),":[170],"more":[171],"attention":[172],"is":[173],"still":[174],"needed":[175],"on":[176],"validation":[178],"identifying":[180,238],"potential":[181],"biases":[182,242],"associated":[183],"with":[184],"these":[185],"validate":[188],"against":[189],"household":[194],"survey":[196],"that":[199,244],"despite":[200],"good":[201],"agreement":[202],"distances":[205],"(one-day":[206],"long-distance":[208],"trips),":[209],"we":[210],"also":[211],"some":[213],"differences":[214],"in":[215,232],"home":[216],"location":[217],"international":[222],"possibly":[224],"due":[225],"bias":[228],"distortion":[231],"Future":[235],"work":[236],"includes":[237],"removing":[240],"additional":[241],"so":[243],"results":[245],"patterns":[249],"may":[250],"be":[251,280],"generalised":[252],"human":[254],"study":[258],"explores":[259],"behavioural":[263],"their":[266],"day-to-day":[272],"displacement.":[273],"The":[274],"findings":[275],"this":[277],"could":[279],"relevant":[281],"for":[282],"disease":[283],"prediction,":[284],"transport":[285],"modelling,":[286],"broader":[289],"sciences.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}