{"id":"https://openalex.org/W2591889176","doi":"https://doi.org/10.1109/escience.2016.7870912","title":"Privacy-protected social media user trajectories calibration","display_name":"Privacy-protected social media user trajectories calibration","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2591889176","doi":"https://doi.org/10.1109/escience.2016.7870912","mag":"2591889176"},"language":"en","primary_location":{"id":"doi:10.1109/escience.2016.7870912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","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/A5100400155","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-4098-7319"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["Computing and Information Systems, The University of Melbourne, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Computing and Information Systems, The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039872140","display_name":"Richard Sinnott","orcid":"https://orcid.org/0000-0001-5998-222X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richard Sinnott","raw_affiliation_strings":["Computing and Information Systems, The University of Melbourne, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Computing and Information Systems, The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082256444","display_name":"\u202aSurya Nepal\u202c","orcid":"https://orcid.org/0000-0002-3289-6599"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Surya Nepal","raw_affiliation_strings":["Data61 CSIRO, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61 CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100400155"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":3.2714,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93346424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"96","issue":null,"first_page":"293","last_page":"302"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.993399977684021,"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":0.6977239847183228},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6795516014099121},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6524590253829956},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6278707981109619},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.553360104560852},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5515676140785217},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5197094082832336},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47913381457328796},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.44398483633995056},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.426175594329834},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34104907512664795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2842842936515808},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22521501779556274},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11986133456230164},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.09975019097328186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977239847183228},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6795516014099121},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6524590253829956},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6278707981109619},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.553360104560852},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5515676140785217},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5197094082832336},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47913381457328796},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.44398483633995056},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.426175594329834},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34104907512664795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2842842936515808},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22521501779556274},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11986133456230164},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.09975019097328186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/escience.2016.7870912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W99841510","https://openalex.org/W182697965","https://openalex.org/W629725956","https://openalex.org/W1673310716","https://openalex.org/W1873763122","https://openalex.org/W1990503647","https://openalex.org/W1992286709","https://openalex.org/W2010362518","https://openalex.org/W2015569667","https://openalex.org/W2025483242","https://openalex.org/W2072237376","https://openalex.org/W2076675165","https://openalex.org/W2082894754","https://openalex.org/W2091815328","https://openalex.org/W2094501559","https://openalex.org/W2097268493","https://openalex.org/W2100376152","https://openalex.org/W2103654976","https://openalex.org/W2112738128","https://openalex.org/W2115240023","https://openalex.org/W2116899356","https://openalex.org/W2128870831","https://openalex.org/W2129751437","https://openalex.org/W2142922715","https://openalex.org/W2159024459","https://openalex.org/W2245706161","https://openalex.org/W2279375383","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2915637974","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W4245701730","https://openalex.org/W2511794504","https://openalex.org/W2911648135","https://openalex.org/W3092201768","https://openalex.org/W2886451445","https://openalex.org/W3108449883","https://openalex.org/W2551093110"],"abstract_inverted_index":{"Advanced":[0],"data":[1,97,109,120],"analytics":[2],"have":[3,164],"become":[4],"an":[5,80,144],"integral":[6],"part":[7],"of":[8,11,25,36,55,65,101,117,156,183],"a":[9],"number":[10],"eScience":[12],"initiatives":[13],"including":[14,42],"the":[15,19,23,34,52,62,114,118,154,161,179,184],"many":[16],"challenges":[17,141],"facing":[18],"urban":[20,40,43],"sciences.":[21],"Understanding":[22],"movement":[24],"people":[26],"and":[27,46,61,71,77,111,113,181],"their":[28,72,127],"spatial":[29],"trajectorits":[30],"would":[31],"greatly":[32],"aid":[33],"development":[35],"policies":[37],"for":[38,108],"sustainable":[39],"living":[41],"traffic":[44],"analysis":[45],"smart":[47],"city":[48],"management.":[49],"Due":[50],"to":[51,93,124,132],"widespread":[53],"popularity":[54],"mobile":[56],"devices":[57],"with":[58],"location-aware":[59],"capabilities":[60],"extensive":[63],"prevalence":[64],"location-based":[66],"social":[67],"networks,":[68],"citizens'":[69],"movements":[70],"trajectories":[73,147,171],"are":[74,87],"being":[75],"produced":[76],"gathered":[78],"at":[79],"unprecedented":[81],"rate.":[82],"In":[83,135],"this":[84,136,192],"context,":[85],"there":[86],"two":[88],"fundamental":[89,131],"issues":[90],"that":[91,103,150],"need":[92],"be":[94],"addressed:":[95],"trajectory":[96,119,133],"hold":[98],"private":[99,146],"information":[100],"citizens":[102],"require":[104],"privacy":[105,155],"preserving":[106],"solutions":[107],"release":[110],"analysis,":[112],"heterogeneous":[115],"nature":[116],"makes":[121],"it":[122],"hard":[123],"effectively":[125],"measure":[126],"similarity,":[128],"which":[129,187],"is":[130,188],"analysis.":[134],"paper,":[137],"we":[138],"address":[139],"these":[140],"by":[142],"proposing":[143],"innovative":[145],"calibration":[148],"model":[149],"not":[151],"only":[152],"guarantees":[153],"citizens,":[157],"but":[158],"also":[159,189],"increases":[160],"utility.":[162],"We":[163],"conducted":[165],"comprehensive":[166],"experiments":[167],"using":[168],"real-life":[169],"user":[170],"extracted":[172],"from":[173],"Twitter":[174],"data.":[175],"The":[176],"results":[177],"reveal":[178],"effectiveness":[180],"efficiency":[182],"proposed":[185],"approach,":[186],"reported":[190],"in":[191],"paper.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}