{"id":"https://openalex.org/W2293743582","doi":"https://doi.org/10.1140/epjds/s13688-016-0092-2","title":"Predicting human mobility through the assimilation of social media traces into mobility models","display_name":"Predicting human mobility through the assimilation of social media traces into mobility models","publication_year":2016,"publication_date":"2016-10-21","ids":{"openalex":"https://openalex.org/W2293743582","doi":"https://doi.org/10.1140/epjds/s13688-016-0092-2","mag":"2293743582"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-016-0092-2","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-016-0092-2","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-016-0092-2","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/s13688-016-0092-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027772279","display_name":"Mariano G. Beir\u00f3","orcid":"https://orcid.org/0000-0002-5474-0309"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mariano G Beir\u00f3","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020199695","display_name":"Andr\u00e9 Panisson","orcid":"https://orcid.org/0000-0002-3336-0374"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Panisson","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059787882","display_name":"Michele Tizzoni","orcid":"https://orcid.org/0000-0001-7246-2341"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Tizzoni","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069885186","display_name":"Ciro Cattuto","orcid":"https://orcid.org/0000-0001-9526-4364"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ciro Cattuto","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027772279"],"corresponding_institution_ids":["https://openalex.org/I134940468"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":29.1918,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.99468748,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"5","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/T10298","display_name":"Urban Transport and Accessibility","score":0.9955999851226807,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7794449925422668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222456932067871},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.5674654841423035},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5451875925064087},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5091890692710876},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4906379282474518},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4778292179107666},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.41589680314064026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3891003131866455},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34382206201553345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31881749629974365},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.17355051636695862},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11691543459892273},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09440532326698303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09248203039169312},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08513575792312622},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08318164944648743}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7794449925422668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222456932067871},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.5674654841423035},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5451875925064087},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5091890692710876},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4906379282474518},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4778292179107666},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.41589680314064026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3891003131866455},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34382206201553345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31881749629974365},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.17355051636695862},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11691543459892273},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09440532326698303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09248203039169312},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08513575792312622},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08318164944648743}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-016-0092-2","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-016-0092-2","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-016-0092-2","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:doaj.org/article:a5bd8a94e88843be95bda3216446b044","is_oa":true,"landing_page_url":"https://doaj.org/article/a5bd8a94e88843be95bda3216446b044","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 5, Iss 1, Pp 1-15 (2016)","raw_type":"article"},{"id":"pmh:oai:iris.unitn.it:11572/354781","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/354781","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-016-0092-2","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-016-0092-2","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-016-0092-2","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","score":0.5099999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G624297662","display_name":null,"funder_award_id":"S3 Project","funder_id":"https://openalex.org/F4320309746","funder_display_name":"Compagnia di San Paolo"},{"id":"https://openalex.org/G7798545764","display_name":null,"funder_award_id":"Grant No. 317532","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309723","display_name":"Fondazione CRT","ror":"https://ror.org/00fgmmg43"},{"id":"https://openalex.org/F4320309746","display_name":"Compagnia di San Paolo","ror":"https://ror.org/00d1b1c41"},{"id":"https://openalex.org/F4320318977","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323641","display_name":"Vedeck\u00e1 Grantov\u00e1 Agent\u00fara M\u0160VVa\u0160 SR a SAV","ror":"https://ror.org/044gwpv05"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2293743582.pdf","grobid_xml":"https://content.openalex.org/works/W2293743582.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W7143572","https://openalex.org/W648968271","https://openalex.org/W1480376833","https://openalex.org/W1882303714","https://openalex.org/W1904380837","https://openalex.org/W1966177546","https://openalex.org/W1978220319","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W1990898695","https://openalex.org/W1993035486","https://openalex.org/W1994682066","https://openalex.org/W2004521717","https://openalex.org/W2011301426","https://openalex.org/W2013598124","https://openalex.org/W2015480405","https://openalex.org/W2016674662","https://openalex.org/W2018702399","https://openalex.org/W2024877464","https://openalex.org/W2025546535","https://openalex.org/W2026532100","https://openalex.org/W2034636363","https://openalex.org/W2037301749","https://openalex.org/W2039350330","https://openalex.org/W2040434799","https://openalex.org/W2042230145","https://openalex.org/W2042493333","https://openalex.org/W2055195882","https://openalex.org/W2076873504","https://openalex.org/W2077266484","https://openalex.org/W2077988168","https://openalex.org/W2090978188","https://openalex.org/W2092849947","https://openalex.org/W2133286823","https://openalex.org/W2136971270","https://openalex.org/W2148616314","https://openalex.org/W2154077228","https://openalex.org/W2159191994","https://openalex.org/W2165598812","https://openalex.org/W2171267091","https://openalex.org/W2238647537","https://openalex.org/W2250384498","https://openalex.org/W2315686272","https://openalex.org/W2318951588","https://openalex.org/W2334591607","https://openalex.org/W2471787768","https://openalex.org/W2787894218","https://openalex.org/W2914369697","https://openalex.org/W2949364411","https://openalex.org/W3104325905","https://openalex.org/W3104445270"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Predicting":[0],"human":[1,30,66],"mobility":[2,39,48,67,126],"flows":[3],"at":[4,128],"different":[5,115],"spatial":[6,130],"scales":[7],"is":[8],"challenged":[9],"by":[10,41,50],"the":[11,17,81,92,110,121],"heterogeneity":[12],"of":[13,20,26,29,53,65,96],"individual":[14],"trajectories":[15],"and":[16,56,94,106],"multi-scale":[18],"nature":[19],"transportation":[21],"networks.":[22],"As":[23],"vast":[24],"amounts":[25],"digital":[27,54],"traces":[28],"behaviour":[31],"become":[32],"available,":[33],"an":[34],"opportunity":[35],"arises":[36],"to":[37],"improve":[38],"models":[40],"integrating":[42],"into":[43],"them":[44],"proxy":[45],"data":[46],"on":[47,103],"collected":[49],"a":[51,62,70,76,86],"variety":[52],"platforms":[55],"location-aware":[57],"services.":[58],"Here":[59],"we":[60,118],"propose":[61],"hybrid":[63,122],"model":[64,123],"that":[68,120],"integrates":[69],"large-scale":[71],"publicly":[72],"available":[73],"dataset":[74],"from":[75],"popular":[77],"photo-sharing":[78],"system":[79],"with":[80],"classical":[82],"gravity":[83],"model,":[84],"under":[85],"stacked":[87],"regression":[88],"procedure.":[89],"We":[90],"validate":[91],"performance":[93],"generalizability":[95],"our":[97],"approach":[98],"using":[99,113],"two":[100,114],"ground-truth":[101],"datasets":[102],"air":[104],"travel":[105],"daily":[107],"commuting":[108],"in":[109],"United":[111],"States:":[112],"cross-validation":[116],"schemes":[117],"show":[119],"affords":[124],"enhanced":[125],"prediction":[127],"both":[129],"scales.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}