{"id":"https://openalex.org/W2101108259","doi":"https://doi.org/10.1145/2020408.2020581","title":"Human mobility, social ties, and link prediction","display_name":"Human mobility, social ties, and link prediction","publication_year":2011,"publication_date":"2011-08-21","ids":{"openalex":"https://openalex.org/W2101108259","doi":"https://doi.org/10.1145/2020408.2020581","mag":"2101108259"},"language":"en","primary_location":{"id":"doi:10.1145/2020408.2020581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002041772","display_name":"Dashun Wang","orcid":"https://orcid.org/0000-0002-7054-2206"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dashun Wang","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044898565","display_name":"Dino Pedreschi","orcid":"https://orcid.org/0000-0003-4801-3225"},"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"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dino Pedreschi","raw_affiliation_strings":["University of Pisa, Pisa, Italy","University of Pisa, Pisa, Italy ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa, Pisa, Italy (","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744117","display_name":"Chaoming Song","orcid":"https://orcid.org/0000-0002-3048-7046"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaoming Song","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024505700","display_name":"Fosca Giannotti","orcid":"https://orcid.org/0000-0003-3099-3835"},"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":"Fosca Giannotti","raw_affiliation_strings":["Istituto di Scienza e Tecnologie dell'Informazione del C.N.R., Pisa, Italy","Istituto di Scienza e Tecnologie dell'Informazione del C.N.R., Pisa, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell'Informazione del C.N.R., Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell'Informazione del C.N.R., Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038976962","display_name":"Albert-\u0139aszl\u00f3 Barab\u00e1si","orcid":"https://orcid.org/0000-0002-4028-3522"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert-Laszlo Barabasi","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":677,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1100","last_page":"1108"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020245790481567},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.6258664727210999},{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.616317629814148},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5670857429504395},{"id":"https://openalex.org/keywords/human-dynamics","display_name":"Human dynamics","score":0.5542313456535339},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5015168190002441},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47726553678512573},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.46762996912002563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4483017325401306},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44324055314064026},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4371790289878845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4335090219974518},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4305822253227234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35190245509147644},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.2949700653553009},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.254191517829895},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.14272111654281616},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12000223994255066},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10800722241401672},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09214368462562561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020245790481567},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.6258664727210999},{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.616317629814148},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5670857429504395},{"id":"https://openalex.org/C151915977","wikidata":"https://www.wikidata.org/wiki/Q5937740","display_name":"Human dynamics","level":2,"score":0.5542313456535339},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5015168190002441},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47726553678512573},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.46762996912002563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4483017325401306},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44324055314064026},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4371790289878845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4335090219974518},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4305822253227234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35190245509147644},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.2949700653553009},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.254191517829895},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.14272111654281616},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12000223994255066},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10800722241401672},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09214368462562561},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2020408.2020581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:people______::84d992e9766be6caf5609e2128e36c10","is_oa":false,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::84d992e9766be6caf5609e2128e36c10","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":"17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp. 1100\u20131108, San Diego, CA, USA, 21-24 /08 2011","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W148444222","https://openalex.org/W1516535719","https://openalex.org/W1524104700","https://openalex.org/W1563419623","https://openalex.org/W1831729862","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W1995629273","https://openalex.org/W2003707464","https://openalex.org/W2012580531","https://openalex.org/W2026417691","https://openalex.org/W2056284729","https://openalex.org/W2062231365","https://openalex.org/W2115785474","https://openalex.org/W2117742206","https://openalex.org/W2125082260","https://openalex.org/W2126895033","https://openalex.org/W2133400794","https://openalex.org/W2139865418","https://openalex.org/W2141113219","https://openalex.org/W2151078464","https://openalex.org/W2151498529","https://openalex.org/W2154454189","https://openalex.org/W2162450625","https://openalex.org/W2164466012","https://openalex.org/W2165598812","https://openalex.org/W2166692930","https://openalex.org/W2168346693","https://openalex.org/W2171634212","https://openalex.org/W2339153059","https://openalex.org/W2420733993","https://openalex.org/W2768375068","https://openalex.org/W4244928213"],"related_works":["https://openalex.org/W1911061567","https://openalex.org/W3007491431","https://openalex.org/W2999398081","https://openalex.org/W2107006898","https://openalex.org/W2887363877","https://openalex.org/W4384518057","https://openalex.org/W3166476493","https://openalex.org/W2295092216","https://openalex.org/W1964393891","https://openalex.org/W2557922261"],"abstract_inverted_index":{"Our":[0],"understanding":[1,21],"of":[2,22,70,164],"how":[3,97],"individual":[4,49],"mobility":[5,125,153,165],"patterns":[6,166],"shape":[7],"and":[8,25,51,67,154,167],"impact":[9],"the":[10,35,45,60,65,79,91,98,138,162],"social":[11,52,92,120,168],"network":[12,23,155,180],"is":[13,16,29],"limited,":[14],"but":[15,178],"essential":[17],"for":[18,59],"a":[19,110,119,147],"deeper":[20],"dynamics":[24],"evolution.":[26],"This":[27],"question":[28],"largely":[30],"unexplored,":[31],"partly":[32],"due":[33],"to":[34,108,133],"difficulty":[36],"in":[37,90,102,118],"obtaining":[38],"large-scale":[39],"society-wide":[40],"data":[41],"that":[42,78,124],"simultaneously":[43],"capture":[44],"dynamical":[46],"information":[47],"on":[48,151,161,173],"movements":[50,84],"interactions.":[53],"Here":[54],"we":[55],"address":[56,109],"this":[57],"challenge":[58],"first":[61],"time":[62],"by":[63,145],"tracking":[64],"trajectories":[66],"communication":[68],"records":[69],"6":[71],"Million":[72],"mobile":[73],"phone":[74],"users.":[75],"We":[76,94,122,157],"find":[77],"similarity":[80],"between":[81],"two":[82],"individuals'":[83],"strongly":[85],"correlates":[86],"with":[87],"their":[88],"proximity":[89],"network.":[93,121],"further":[95],"investigate":[96],"predictive":[99,130],"power":[100],"hidden":[101],"such":[103],"correlations":[104],"can":[105,141],"be":[106,142],"exploited":[107],"challenging":[111],"problem:":[112],"which":[113],"new":[114,171],"links":[115],"will":[116],"develop":[117],"show":[123],"measures":[126],"alone":[127],"yield":[128],"surprising":[129],"power,":[131],"comparable":[132],"traditional":[134],"network-based":[135],"measures.":[136,156],"Furthermore,":[137],"prediction":[139,177],"accuracy":[140],"significantly":[143],"improved":[144],"learning":[146],"supervised":[148],"classifier":[149],"based":[150],"combined":[152],"believe":[158],"our":[159],"findings":[160],"interplay":[163],"ties":[169],"offer":[170],"perspectives":[172],"not":[174],"only":[175],"link":[176],"also":[179],"dynamics.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":51},{"year":2019,"cited_by_count":56},{"year":2018,"cited_by_count":71},{"year":2017,"cited_by_count":67},{"year":2016,"cited_by_count":72},{"year":2015,"cited_by_count":89},{"year":2014,"cited_by_count":69},{"year":2013,"cited_by_count":45},{"year":2012,"cited_by_count":43}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}