{"id":"https://openalex.org/W2470801513","doi":"https://doi.org/10.1111/cgf.12905","title":"Using Visualization to Explore Original and Anonymized LBSN Data","display_name":"Using Visualization to Explore Original and Anonymized LBSN Data","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2470801513","doi":"https://doi.org/10.1111/cgf.12905","mag":"2470801513"},"language":"en","primary_location":{"id":"doi:10.1111/cgf.12905","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.12905","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-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/A5082830747","display_name":"Ebrahim Tarameshloo","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"E. Tarameshloo","raw_affiliation_strings":["Department of Computer Science University of Calgary Calgary Alberta Canada","Department of Computer Science, University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Calgary Calgary Alberta Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082971754","display_name":"Mona Hosseinkhani Loorak","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Hosseinkhani Loorak","raw_affiliation_strings":["Department of Computer Science University of Calgary Calgary Alberta Canada","Department of Computer Science, University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Calgary Calgary Alberta Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083233018","display_name":"Patrick S.W. Fong","orcid":"https://orcid.org/0000-0002-2017-5698"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"P. W.L. Fong","raw_affiliation_strings":["Department of Computer Science University of Calgary Calgary Alberta Canada","Department of Computer Science, University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Calgary Calgary Alberta Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012561411","display_name":"Sheelagh Carpendale","orcid":"https://orcid.org/0000-0002-5127-9780"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Carpendale","raw_affiliation_strings":["Department of Computer Science University of Calgary Calgary Alberta Canada","Department of Computer Science, University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Calgary Calgary Alberta Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082830747"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":{"value":3710,"currency":"USD","value_usd":3710},"apc_paid":null,"fwci":3.2715,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9286135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"3","first_page":"291","last_page":"300"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744641125202179},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7064923048019409},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5943043231964111},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5004208087921143},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.44038277864456177},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43235617876052856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07824438810348511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744641125202179},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7064923048019409},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5943043231964111},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5004208087921143},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.44038277864456177},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43235617876052856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07824438810348511},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/cgf.12905","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.12905","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319907","display_name":"Alberta Innovates - Technology Futures","ror":"https://ror.org/00ynafe15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1515092984","https://openalex.org/W1527768716","https://openalex.org/W1546650522","https://openalex.org/W1557977305","https://openalex.org/W1579505926","https://openalex.org/W1583384137","https://openalex.org/W1607053109","https://openalex.org/W1823329909","https://openalex.org/W1980799317","https://openalex.org/W1992399362","https://openalex.org/W1993157943","https://openalex.org/W1994292329","https://openalex.org/W1998091733","https://openalex.org/W2007342570","https://openalex.org/W2010362518","https://openalex.org/W2024625296","https://openalex.org/W2035311901","https://openalex.org/W2056773559","https://openalex.org/W2058203255","https://openalex.org/W2059942088","https://openalex.org/W2087643385","https://openalex.org/W2090244154","https://openalex.org/W2102664288","https://openalex.org/W2110953678","https://openalex.org/W2111347866","https://openalex.org/W2124145056","https://openalex.org/W2125910575","https://openalex.org/W2126895033","https://openalex.org/W2134774091","https://openalex.org/W2142406320","https://openalex.org/W2149944211","https://openalex.org/W2152762220","https://openalex.org/W2158453355","https://openalex.org/W2161133721","https://openalex.org/W2167983404","https://openalex.org/W2170166043","https://openalex.org/W2251664932","https://openalex.org/W2491780404","https://openalex.org/W3144904622","https://openalex.org/W4210813334","https://openalex.org/W6665378438","https://openalex.org/W6672805741","https://openalex.org/W6680412516"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"present":[2],"GSUVis,":[3,145],"a":[4,96,178],"visualization":[5],"tool":[6,99],"designed":[7,94,162],"to":[8,74,78,100,120,126,133,177],"provide":[9],"better":[10,103],"understanding":[11],"of":[12,22,27,67,86,107,115,144,201,206],"location\u2010based":[13],"social":[14,172],"network":[15],"(LBSN)":[16],"data.":[17],"LBSN":[18,36,56,111,128,180],"data":[19,37,45,57,64,72,112,138,176,185],"is":[20,47,66,73,119],"one":[21],"the":[23,84,105,142,184,199,204],"most":[24],"important":[25],"sources":[26],"information":[28,60,87],"for":[29,124,171],"transportation,":[30],"marketing,":[31],"health,":[32],"and":[33,43,50,150,154,163,173,182,188,203],"public":[34],"safety.":[35],"consumers":[38],"are":[39],"interested":[40],"in":[41],"accessing":[42],"analysing":[44],"that":[46],"as":[48,51,53],"complete":[49],"accurate":[52],"possible.":[54],"However,":[55,80],"contains":[58],"sensitive":[59],"about":[61,137],"individuals.":[62],"Consequently,":[63],"anonymization":[65,81,108,169,207],"critical":[68],"importance":[69],"if":[70],"this":[71,159],"be":[75],"made":[76],"available":[77],"consumers.":[79],"commonly":[82],"reduces":[83],"utility":[85],"available.":[88],"Working":[89],"with":[90],"privacy":[91,148],"experts,":[92,149,195],"we":[93,146,161,196],"GSUVis":[95,202],"visual":[97],"analytic":[98],"help":[101],"experts":[102],"understand":[104],"effects":[106],"techniques":[109],"on":[110,158,198],"utility.":[113],"One":[114],"GSUVis's":[116],"primary":[117],"goals":[118],"make":[121],"it":[122],"possible":[123],"people":[125],"use":[127],"data,":[129],"without":[130],"requiring":[131],"them":[132],"gain":[134],"deep":[135],"knowledge":[136],"anonymization.":[139,190],"To":[140],"inform":[141],"design":[143],"interviewed":[147],"collected":[151],"their":[152],"tasks":[153],"system":[155],"requirements.":[156],"Based":[157],"understanding,":[160],"implemented":[164],"GSUVis.":[165],"It":[166],"applies":[167],"two":[168],"algorithms":[170],"location":[174],"trajectory":[175],"real\u2010world":[179],"dataset":[181],"visualizes":[183],"both":[186],"before":[187],"after":[189],"Through":[191],"feedback":[192],"from":[193],"domain":[194],"reflect":[197],"effectiveness":[200],"impact":[205],"using":[208],"visualization.":[209]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
