{"id":"https://openalex.org/W3164408820","doi":"https://doi.org/10.1140/epjds/s13688-021-00275-w","title":"An end-to-end statistical process with mobile network data for official statistics","display_name":"An end-to-end statistical process with mobile network data for official statistics","publication_year":2021,"publication_date":"2021-04-29","ids":{"openalex":"https://openalex.org/W3164408820","doi":"https://doi.org/10.1140/epjds/s13688-021-00275-w","mag":"3164408820"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-021-00275-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00275-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00275-w","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/counter/pdf/10.1140/epjds/s13688-021-00275-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046823165","display_name":"David Cienfuegos Salgado","orcid":"https://orcid.org/0000-0003-3630-3217"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]},{"id":"https://openalex.org/I4210133698","display_name":"National Institute of Statistics","ror":"https://ror.org/03ftrk873","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210133698"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Salgado","raw_affiliation_strings":["Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain","Dept. Statistics and Operations Research, Complutense University of Madrid, Plaza de las Ciencias, 3, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain","institution_ids":["https://openalex.org/I4210133698"]},{"raw_affiliation_string":"Dept. Statistics and Operations Research, Complutense University of Madrid, Plaza de las Ciencias, 3, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019173054","display_name":"Luis Sanguiao Sande","orcid":"https://orcid.org/0000-0002-2065-3792"},"institutions":[{"id":"https://openalex.org/I4210133698","display_name":"National Institute of Statistics","ror":"https://ror.org/03ftrk873","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210133698"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Sanguiao","raw_affiliation_strings":["Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain","institution_ids":["https://openalex.org/I4210133698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028386081","display_name":"Bogdan Oancea","orcid":"https://orcid.org/0000-0001-6987-5137"},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Bogdan Oancea","raw_affiliation_strings":["Dept. Business Administration, University of Bucharest, 90 Panduri Street, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Dept. Business Administration, University of Bucharest, 90 Panduri Street, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002863240","display_name":"Sandra Patricia Barrag\u00e1n Moreno","orcid":"https://orcid.org/0000-0001-6503-4445"},"institutions":[{"id":"https://openalex.org/I4210133698","display_name":"National Institute of Statistics","ror":"https://ror.org/03ftrk873","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210133698"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sandra Barrag\u00e1n","raw_affiliation_strings":["Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. Methodology and Development of Statistical Production, Statistics Spain (INE), Av. de Manoteras, 50-52, Madrid, Spain","institution_ids":["https://openalex.org/I4210133698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052947646","display_name":"Marian Necula","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marian Necula","raw_affiliation_strings":["Dept. Innovative Tools in Official Statistics, Statistics Romania (INS), 16 Libertatii Bvd, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Dept. Innovative Tools in Official Statistics, Statistics Romania (INS), 16 Libertatii Bvd, Bucharest, Romania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046823165"],"corresponding_institution_ids":["https://openalex.org/I121748325","https://openalex.org/I4210133698"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":4.1331,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93177194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","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":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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9624999761581421,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9598000049591064,"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":0.721421480178833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.56474369764328},{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.5157478451728821},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4999558925628662},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4958239495754242},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4793451726436615},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.47145897150039673},{"id":"https://openalex.org/keywords/official-statistics","display_name":"Official statistics","score":0.41821420192718506},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41473960876464844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2423519790172577},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1972762942314148},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.149772047996521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721421480178833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.56474369764328},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.5157478451728821},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4999558925628662},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4958239495754242},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4793451726436615},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.47145897150039673},{"id":"https://openalex.org/C198052957","wikidata":"https://www.wikidata.org/wiki/Q7079603","display_name":"Official statistics","level":2,"score":0.41821420192718506},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41473960876464844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2423519790172577},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1972762942314148},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.149772047996521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-021-00275-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00275-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00275-w","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:faf5526198144805882f500ac07008b1","is_oa":true,"landing_page_url":"https://doaj.org/article/faf5526198144805882f500ac07008b1","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 10, Iss 1, Pp 1-46 (2021)","raw_type":"article"},{"id":"pmh:oai:www.ucm.es:69507","is_oa":true,"landing_page_url":"https://eprints.ucm.es/id/eprint/69507/1/salgado_an-end-to-end.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400298","display_name":"Library Open Repository (Universidad Complutense Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121748325","host_organization_name":"Universidad Complutense de Madrid","host_organization_lineage":["https://openalex.org/I121748325"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-021-00275-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00275-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00275-w","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/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164408820.pdf","grobid_xml":"https://content.openalex.org/works/W3164408820.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W590711263","https://openalex.org/W757447456","https://openalex.org/W1663973292","https://openalex.org/W1795663738","https://openalex.org/W1822049871","https://openalex.org/W1869778509","https://openalex.org/W1977752466","https://openalex.org/W1982300822","https://openalex.org/W2020281294","https://openalex.org/W2037738789","https://openalex.org/W2055992762","https://openalex.org/W2057799723","https://openalex.org/W2088663943","https://openalex.org/W2098833441","https://openalex.org/W2115240023","https://openalex.org/W2122759946","https://openalex.org/W2125838338","https://openalex.org/W2129284678","https://openalex.org/W2129343844","https://openalex.org/W2135401627","https://openalex.org/W2137558058","https://openalex.org/W2145508340","https://openalex.org/W2145569511","https://openalex.org/W2160843879","https://openalex.org/W2276056662","https://openalex.org/W2345352344","https://openalex.org/W2462663145","https://openalex.org/W2469717596","https://openalex.org/W2478460150","https://openalex.org/W2484963638","https://openalex.org/W2593227599","https://openalex.org/W2597533437","https://openalex.org/W2611738447","https://openalex.org/W2766973996","https://openalex.org/W2767544505","https://openalex.org/W2890846040","https://openalex.org/W2902204282","https://openalex.org/W2904855462","https://openalex.org/W2939408036","https://openalex.org/W2963816324","https://openalex.org/W3007871038","https://openalex.org/W3087710572","https://openalex.org/W3098506695","https://openalex.org/W3102572117","https://openalex.org/W3105674733","https://openalex.org/W3158527338","https://openalex.org/W3164408820","https://openalex.org/W4212863985","https://openalex.org/W4214928630","https://openalex.org/W4232760955","https://openalex.org/W4298298962","https://openalex.org/W4299734264","https://openalex.org/W4302152140"],"related_works":["https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2799094075","https://openalex.org/W2892370851","https://openalex.org/W2945387931","https://openalex.org/W2187946387","https://openalex.org/W2052024186","https://openalex.org/W2939141610","https://openalex.org/W68214382","https://openalex.org/W4310429133"],"abstract_inverted_index":{"Abstract":[0],"Mobile":[1,124],"network":[2,175],"data":[3,30,67,100,138,193,221],"has":[4,216,238],"been":[5,217,239],"proven":[6],"to":[7,32,158,162,194,219,241],"provide":[8],"a":[9,44,73,85,133,152,173],"rich":[10],"source":[11,31,101],"of":[12,28,36,46,109,116,128,136,148,169,184,198,201,232,244,255,258,273],"information":[13,186],"in":[14,81,207],"multiple":[15],"statistical":[16,75,105],"domains":[17],"such":[18],"as":[19],"demography,":[20],"tourism,":[21],"urban":[22],"planning,":[23],"etc.":[24],"However,":[25],"the":[26,33,94,103,114,117,146,163,182,188,199,208,230,233,242,256,265,271],"incorporation":[27],"this":[29,99,137,156,236],"routinely":[34],"production":[35,76,260,275],"official":[37,192],"statistics":[38],"is":[39],"taking":[40],"many":[41],"efforts":[42],"since":[43],"diversity":[45],"highly":[47],"entangled":[48],"issues":[49],"(access,":[50],"methodology,":[51],"IT":[52],"tools,":[53],"quality,":[54],"skills)":[55],"must":[56,78],"be":[57,79],"solved":[58],"beforehand.":[59],"To":[60],"do":[61],"this,":[62],"one-off":[63],"studies":[64],"with":[65,132,264],"concrete":[66,86],"sets":[68],"are":[69],"not":[70],"enough":[71],"and":[72,179,191,226,247],"standard":[74],"process":[77,88],"put":[80],"place.":[82],"We":[83,140,250],"propose":[84],"modular":[87],"structured":[89],"into":[90],"evolvable":[91],"modules":[92,130,261],"detaching":[93],"strongly":[95],"technological":[96],"layer":[97],"underlying":[98],"from":[102,187],"necessary":[104],"analysis":[106],"producing":[107],"outputs":[108],"interest.":[110],"This":[111],"architecture":[112],"follows":[113],"principles":[115],"so-called":[118],"ESS":[119],"Reference":[120],"Methodological":[121],"Framework":[122],"for":[123,145],"Network":[125],"Data.":[126],"Each":[127],"these":[129,259],"deals":[131],"different":[134,204],"aspect":[135],"source.":[139],"apply":[141],"hidden":[142],"Markov":[143],"models":[144],"geolocation":[147],"mobile":[149],"devices,":[150],"use":[151],"Bayesian":[153],"approach":[154],"on":[155],"model":[157,180],"disambiguate":[159],"devices":[160],"belonging":[161],"same":[164],"individual,":[165],"compute":[166],"aggregate":[167],"numbers":[168],"individuals":[170,202],"detected":[171],"by":[172],"telecommunication":[174],"using":[176],"probability":[177],"theory,":[178],"hierarchically":[181],"integration":[183],"auxiliary":[185],"telco":[189],"market":[190],"produce":[195],"final":[196],"estimates":[197],"number":[200],"across":[203],"territorial":[205],"regions":[206],"target":[209],"population.":[210],"A":[211],"first":[212],"simple":[213],"illustrative":[214,253],"proposal":[215],"applied":[218,240],"synthetic":[220],"providing":[222],"preliminary":[223],"software":[224],"tools":[225],"accuracy":[227],"indicators":[228],"monitoring":[229],"performance":[231,272],"process.":[234],"Currently,":[235],"exercise":[237],"estimation":[243],"present":[245,251],"population":[246],"origin-destination":[248],"matrices.":[249],"an":[252],"example":[254],"execution":[257],"comparing":[262],"results":[263],"simulated":[266],"ground":[267],"truth,":[268],"thus":[269],"assessing":[270],"each":[274],"module.":[276]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}