{"id":"https://openalex.org/W2018608870","doi":"https://doi.org/10.1080/01969722.2015.1007737","title":"Privacy-Aware Framework for Matching Online Social Identities in Multiple Social Networking Services","display_name":"Privacy-Aware Framework for Matching Online Social Identities in Multiple Social Networking Services","publication_year":2015,"publication_date":"2015-02-17","ids":{"openalex":"https://openalex.org/W2018608870","doi":"https://doi.org/10.1080/01969722.2015.1007737","mag":"2018608870"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2015.1007737","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2015.1007737","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5060213605","display_name":"Nguy\u1ec5n Ho\u00e0ng Long","orcid":"https://orcid.org/0000-0002-4955-1191"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nguyen Hoang Long","raw_affiliation_strings":["Department of Computer Engineering, Yeungnam University, Korea","Dept. of Computer Engineering, Yeungnam University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yeungnam University, Korea","institution_ids":["https://openalex.org/I55240360"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Yeungnam University, Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084773929","display_name":"Jason J. Jung","orcid":"https://orcid.org/0000-0003-0050-7445"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jason J. Jung","raw_affiliation_strings":["Department of Computer Engineering, Chung-Ang University, Korea","Department of Computer Engineering, Chung-Ang University, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chung-Ang University, Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Computer Engineering, Chung-Ang University, Korea#TAB#","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084773929"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":13.128,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9854875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"46","issue":"1-2","first_page":"69","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7573187947273254},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.6442301273345947},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6290725469589233},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.43697887659072876},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3607293963432312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07454943656921387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573187947273254},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6442301273345947},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6290725469589233},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43697887659072876},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3607293963432312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07454943656921387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969722.2015.1007737","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2015.1007737","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W143386018","https://openalex.org/W167157979","https://openalex.org/W1969890816","https://openalex.org/W1972383986","https://openalex.org/W2009334044","https://openalex.org/W2020834823","https://openalex.org/W2025027569","https://openalex.org/W2040230210","https://openalex.org/W2040244607","https://openalex.org/W2050296478","https://openalex.org/W2087167516","https://openalex.org/W2088465434","https://openalex.org/W2093868868","https://openalex.org/W2147734964","https://openalex.org/W2167686542","https://openalex.org/W2170379762","https://openalex.org/W2272899302","https://openalex.org/W4239624924","https://openalex.org/W6642556363"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"With":[0],"various":[1],"emerging":[2],"Social":[3],"Networking":[4],"Services":[5],"(SNS),":[6],"it":[7],"is":[8,56,109,135],"possible":[9],"for":[10,16,74],"users":[11,21,40],"to":[12,23,58,111],"join":[13],"multiple":[14,53,64,83],"SNS":[15],"social":[17,60,76,104,117],"relationships":[18,105],"with":[19],"other":[20],"and":[22,34,102],"collect":[24],"a":[25,71,75,120],"large":[26],"amount":[27],"of":[28,106,130],"information":[29,99],"(e.g.,":[30,100],"statuses":[31],"on":[32,36],"Facebook":[33],"tweets":[35],"Twitter).":[37],"However,":[38],"these":[39,82],"have":[41,123],"been":[42],"facing":[43],"difficulties":[44],"in":[45],"managing":[46],"all":[47],"the":[48,52,63,88,97,103,107,113,128,131],"data":[49],"collected":[50],"from":[51,62],"SNS.":[54,65,84],"It":[55,85],"important":[57],"match":[59],"identities":[61],"In":[66],"this":[67],"study,":[68],"we":[69,122],"propose":[70],"privacy-aware":[72],"framework":[73],"identity":[77],"matching":[78],"(SIM)":[79],"method":[80,134],"across":[81],"means":[86],"that":[87,127],"proposed":[89,132],"approach":[90],"can":[91],"protect":[92],"user":[93],"privacy,":[94],"because":[95],"only":[96],"public":[98],"username":[101],"users)":[108],"employed":[110],"find":[112],"best":[114],"matches":[115],"between":[116],"identities.":[118],"As":[119],"result,":[121],"shown":[124],"by":[125],"evaluation":[126],"F-measure":[129],"SIM":[133],"about":[136],"60%.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
