{"id":"https://openalex.org/W4319309834","doi":"https://doi.org/10.1145/3571697.3571709","title":"Community Privacy using the Sparse Vector Technique for Graph Statistics","display_name":"Community Privacy using the Sparse Vector Technique for Graph Statistics","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4319309834","doi":"https://doi.org/10.1145/3571697.3571709"},"language":"en","primary_location":{"id":"doi:10.1145/3571697.3571709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571697.3571709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 3rd European Symposium on Software Engineering","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/A5083361046","display_name":"Hara Seon","orcid":"https://orcid.org/0000-0002-9229-6851"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hara Seon","raw_affiliation_strings":["School of Cybersecurity, Korea University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9229-6851","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075904993","display_name":"Hyeongjun Choi","orcid":"https://orcid.org/0000-0003-1700-3729"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeongjun Choi","raw_affiliation_strings":["School of Cybersecurity, Korea University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1700-3729","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027993455","display_name":"Baek-Kyung Song","orcid":"https://orcid.org/0000-0002-3625-9925"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Baek-Kyung Song","raw_affiliation_strings":["School of Cybersecurity, Korea University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3625-9925","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037589971","display_name":"Ji Won Yoon","orcid":"https://orcid.org/0000-0003-2123-9849"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji Won Yoon","raw_affiliation_strings":["School of Cybersecurity, Korea University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2123-9849","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16879316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346135973930359},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6592378616333008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6191956400871277},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6171503663063049},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4960967004299164},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4656316637992859},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.461275577545166},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.45988568663597107},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4453686475753784},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4302319884300232},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.41620123386383057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32943153381347656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23245182633399963},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20106321573257446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1817701756954193},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1724005937576294},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.14582109451293945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346135973930359},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6592378616333008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6191956400871277},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6171503663063049},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4960967004299164},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4656316637992859},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.461275577545166},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.45988568663597107},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4453686475753784},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4302319884300232},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.41620123386383057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32943153381347656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23245182633399963},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20106321573257446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1817701756954193},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1724005937576294},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.14582109451293945},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571697.3571709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571697.3571709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 3rd European Symposium on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1969170759","https://openalex.org/W1971421925","https://openalex.org/W1985339741","https://openalex.org/W2027595342","https://openalex.org/W2109426455","https://openalex.org/W2112976607","https://openalex.org/W2117831564","https://openalex.org/W2125678004","https://openalex.org/W2151936673","https://openalex.org/W2431360964","https://openalex.org/W2497354583","https://openalex.org/W2941243243","https://openalex.org/W3117066972","https://openalex.org/W3156502157","https://openalex.org/W4224282110","https://openalex.org/W6657138077"],"related_works":["https://openalex.org/W2015153882","https://openalex.org/W2959722760","https://openalex.org/W3120912508","https://openalex.org/W3035493623","https://openalex.org/W1483469828","https://openalex.org/W4300912847","https://openalex.org/W3104252707","https://openalex.org/W2959486658","https://openalex.org/W2521213509","https://openalex.org/W2001198735"],"abstract_inverted_index":{"Various":[0],"attacks":[1],"have":[2],"occurred":[3],"to":[4,36,92,104,122,146,153,205],"extract":[5],"information":[6],"on":[7,138,221],"a":[8,43,84,110,129,144,158,162,176,239],"specific":[9],"person":[10],"from":[11,232],"social":[12,31,265],"networks.":[13],"Differential":[14],"privacy":[15,23,28,86,130,135,164,189],"(DP)":[16],"is":[17,212],"one":[18],"of":[19,45,68,141,157,172,199,202,217,253,270],"the":[20,27,65,78,106,117,123,134,139,148,155,170,200,218,225,233,248,261],"solutions":[21],"for":[22,47],"disclosure":[24],"issues.":[25],"However,":[26],"issue":[29,95],"in":[30,51,59,89,96,109,143,175,245,275],"networks":[32,184],"makes":[33],"people":[34],"reluctant":[35],"provide":[37],"their":[38,268],"data.":[39],"This":[40,113],"circumstance":[41],"causes":[42],"lack":[44],"data":[46,48,53,55,61,91,103,118,276],"analysis.":[49],"DP":[50],"small":[52,90,111],"degrades":[54],"utility":[56,119,187],"more":[57],"than":[58,214],"big":[60],"when":[62],"we":[63,166,179],"add":[64],"same":[66],"amount":[67],"noise.":[69],"We":[70,126,191],"propose":[71],"Community":[72],"Attributes":[73],"Privacy-preserving":[74],"Method":[75],"(CAPM)":[76],"using":[77],"sparse":[79],"vector":[80],"technique":[81,114],"that":[82,132,193,260],"maintains":[83],"constant":[85],"level":[87],"even":[88],"mitigate":[93],"this":[94,97],"paper.":[98],"CAPM":[99,181,194,223,262],"obfuscates":[100],"raw":[101],"graph":[102],"protect":[105],"network":[107,145,149],"structure":[108],"network.":[112],"can":[115],"improve":[116],"performance":[120],"compared":[121],"existing":[124],"model.":[125],"also":[127],"suggest":[128],"parameter":[131],"sets":[133],"budget":[136],"based":[137],"similarity":[140],"communities":[142,271],"reflect":[147],"topology":[150],"and":[151,188,208,272],"contribute":[152],"raising":[154],"accuracy":[156],"synthetic":[159,264],"graph.":[160],"In":[161,237],"node":[163],"view,":[165],"inject":[167],"noise":[168],"into":[169],"edges":[171,203],"central":[173],"nodes":[174],"community.":[177],"Finally,":[178],"evaluate":[180],"with":[182],"real":[183],"regarding":[185],"statistical":[186],"protection.":[190],"show":[192,259],"has":[195],"an":[196],"error":[197,219,243,254],"rate":[198,220,244],"number":[201],"up":[204],"20":[206],"percent":[207,216,231,242,252],"its":[209],"structural":[210],"entropy":[211],"less":[213],"17":[215],"average.":[222],"improves":[224],"average":[226],"clustering":[227],"coefficient":[228],"by":[229],"82":[230],"recent":[234],"modeling":[235],"algorithm.":[236],"addition,":[238],"maximum":[240],"18":[241],"modularity":[246],"outperforms":[247],"baseline":[249],"whose":[250],"43":[251],"rate.":[255],"The":[256],"evaluation":[257],"results":[258],"generates":[263],"graphs":[266],"targeting":[267],"relations":[269],"performs":[273],"better":[274],"utility.":[277]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
