{"id":"https://openalex.org/W2483963589","doi":"https://doi.org/10.1109/iscc.2016.7543882","title":"Improving population estimation from mobile calls: A clustering approach","display_name":"Improving population estimation from mobile calls: A clustering approach","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2483963589","doi":"https://doi.org/10.1109/iscc.2016.7543882","mag":"2483963589"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2016.7543882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","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/A5045513580","display_name":"Alessandro Lulli","orcid":"https://orcid.org/0000-0003-3881-8900"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Lulli","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy","University of Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073578227","display_name":"Lorenzo Gabrielli","orcid":"https://orcid.org/0000-0001-9651-2470"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Gabrielli","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076098917","display_name":"Patrizio Dazzi","orcid":"https://orcid.org/0000-0001-8504-1503"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Patrizio Dazzi","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027942683","display_name":"Matteo Dell\u2019Amico","orcid":"https://orcid.org/0000-0003-3152-4993"},"institutions":[{"id":"https://openalex.org/I1308906816","display_name":"NortonLifeLock (United States)","ror":"https://ror.org/0449t3a80","country_code":"US","type":"company","lineage":["https://openalex.org/I1308906816"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Dell'Amico","raw_affiliation_strings":["Symantec Research Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symantec Research Labs","institution_ids":["https://openalex.org/I1308906816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017009335","display_name":"Pietro Michiardi","orcid":"https://orcid.org/0000-0003-4675-7677"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pietro Michiardi","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009248582","display_name":"Mirco Nanni","orcid":"https://orcid.org/0000-0003-3534-4332"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirco Nanni","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015647058","display_name":"Laura Ricci","orcid":"https://orcid.org/0000-0002-8179-8215"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Laura Ricci","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy","University of Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3919,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95662032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1097","last_page":"1102"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9847000241279602,"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":0.7579808831214905},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.711097002029419},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6219690442085266},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5975649952888489},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5664647221565247},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5601295232772827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5585141777992249},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5212322473526001},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.50571608543396},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4589058756828308},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.43643367290496826},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43241047859191895},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41393956542015076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2636347711086273},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24719631671905518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21747073531150818},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17452815175056458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13217180967330933},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09910407662391663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579808831214905},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.711097002029419},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6219690442085266},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5975649952888489},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5664647221565247},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5601295232772827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5585141777992249},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5212322473526001},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.50571608543396},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4589058756828308},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.43643367290496826},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43241047859191895},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41393956542015076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2636347711086273},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24719631671905518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21747073531150818},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17452815175056458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13217180967330933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09910407662391663},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iscc.2016.7543882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/815687","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/815687","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dnet:people______::f6b4357f8507eb902ebbe31d1ad3f0b5","is_oa":false,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::f6b4357f8507eb902ebbe31d1ad3f0b5","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Symposium on Computers and Communication, pp. 1097\u20131102, Messina, Italy, 27-30 June 2016","raw_type":"Conference article"},{"id":"pmh:oai:iris.unige.it:11567/1070976","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1070976","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1516662375","https://openalex.org/W1673310716","https://openalex.org/W1977752466","https://openalex.org/W2055992762","https://openalex.org/W2061051181","https://openalex.org/W2100378013","https://openalex.org/W2124460774","https://openalex.org/W2201099741","https://openalex.org/W2207871608","https://openalex.org/W2291321158","https://openalex.org/W2892790791","https://openalex.org/W4285719527","https://openalex.org/W6637131181","https://openalex.org/W6754345865"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W2144839145","https://openalex.org/W2113265763"],"abstract_inverted_index":{"Statistical":[0],"authorities":[1],"promote":[2],"and":[3,7,41,109,134],"safeguard":[4],"the":[5,14,24,54,58,65,125,138,145,159,165],"production":[6],"publication":[8],"of":[9,18,26,39,53,67,95,112,124,147,151,162,167],"official":[10],"statistics":[11],"that":[12,136],"serve":[13],"public":[15],"good.":[16],"One":[17],"their":[19],"duties":[20],"is":[21],"to":[22,61,84,100,105,122,164],"monitor":[23],"presence":[25],"individuals":[27,88],"region":[28],"by":[29,37,56,149],"region.":[30],"Traditionally":[31],"this":[32,73],"activity":[33],"has":[34],"been":[35],"conducted":[36],"means":[38,150],"censuses":[40],"surveys.":[42],"Nowadays":[43],"technologies":[44],"open":[45],"new":[46],"possibilities":[47],"such":[48],"as":[49],"a":[50,78,96,106],"continuous":[51],"sensing":[52],"presences":[55,163],"leveraging":[57],"data":[59,152],"associated":[60],"mobile":[62,155],"devices,":[63],"e.g.,":[64],"behaviour":[66],"users":[68],"on":[69],"doing":[70],"calls.":[71],"In":[72],"paper":[74],"first":[75],"we":[76,92],"propose":[77],"specifically":[79],"conceived":[80],"similarity":[81,86],"function":[82],"able":[83,99],"capture":[85],"between":[87],"call":[89],"behaviours.":[90],"Second":[91],"make":[93],"use":[94],"clustering":[97],"algorithm":[98],"handle":[101],"arbitrary":[102],"metric":[103],"leading":[104],"good":[107],"internal":[108],"external":[110],"consistency":[111],"clusters.":[113],"The":[114,132],"approach":[115],"provides":[116],"better":[117],"population":[118],"estimation":[119,161],"with":[120,128],"respect":[121],"state":[123],"art":[126],"comparing":[127],"real":[129],"census":[130],"data.":[131],"scalability":[133],"flexibility":[135],"characterises":[137],"proposed":[139],"framework":[140],"enables":[141],"novel":[142],"scenarios":[143],"for":[144],"characterization":[146],"people":[148],"derived":[153],"from":[154,158],"users,":[156],"ranging":[157],"nearly-realtime":[160],"definition":[166],"complex,":[168],"uncommon":[169],"user":[170],"archetypes.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
