{"id":"https://openalex.org/W3126452284","doi":"https://doi.org/10.1109/infocom.2015.7218536","title":"De-anonymizing scale-free social networks by percolation graph matching","display_name":"De-anonymizing scale-free social networks by percolation graph matching","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W3126452284","doi":"https://doi.org/10.1109/infocom.2015.7218536","mag":"3126452284"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2015.7218536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2015.7218536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications (INFOCOM)","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/A5110445246","display_name":"Carla Fabiana","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Fabiana","raw_affiliation_strings":["Chiasserini Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiasserini Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067579681","display_name":"Michele Garetto","orcid":"https://orcid.org/0000-0002-4955-9003"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Garetto","raw_affiliation_strings":["Università di Torino, Italy","Universita degli Studi di Torino, Torino, Piemonte, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università di Torino, Italy","institution_ids":["https://openalex.org/I55143463"]},{"raw_affiliation_string":"Universita degli Studi di Torino, Torino, Piemonte, IT","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101851101","display_name":"Emilio Leonardi","orcid":"https://orcid.org/0000-0002-3070-4274"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emilio Leonardi","raw_affiliation_strings":["Politecnico di Torino, Italy","Politecnico di Torino, Torino, Piemonte, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Politecnico di Torino, Torino, Piemonte, IT","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1571","last_page":"1579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9976000189781189,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9965000152587891,"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":0.6544926166534424},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.558173656463623},{"id":"https://openalex.org/keywords/percolation","display_name":"Percolation (cognitive psychology)","score":0.5477511286735535},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4861264228820801},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48246198892593384},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32104578614234924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18159574270248413},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12475377321243286},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10054382681846619},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08341875672340393},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07039692997932434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544926166534424},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.558173656463623},{"id":"https://openalex.org/C2780457167","wikidata":"https://www.wikidata.org/wiki/Q17156484","display_name":"Percolation (cognitive psychology)","level":2,"score":0.5477511286735535},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4861264228820801},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48246198892593384},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32104578614234924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18159574270248413},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12475377321243286},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10054382681846619},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08341875672340393},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07039692997932434},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2015.7218536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2015.7218536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications (INFOCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2044490483","https://openalex.org/W2068902429","https://openalex.org/W2102086994","https://openalex.org/W2129406249","https://openalex.org/W2153204928","https://openalex.org/W2156051808","https://openalex.org/W2159675343","https://openalex.org/W3102034753","https://openalex.org/W3103362336"],"related_works":["https://openalex.org/W2361944761","https://openalex.org/W2391408860","https://openalex.org/W2363160663","https://openalex.org/W2368676408","https://openalex.org/W2380389143","https://openalex.org/W3162748803","https://openalex.org/W4317655900","https://openalex.org/W2391817034","https://openalex.org/W2801014462","https://openalex.org/W4308148751"],"abstract_inverted_index":{"We":[0,102],"address":[1],"the":[2,27,33,72,81,104],"problem":[3,30],"of":[4,26,35,48,80,84,106],"social":[5,54,143],"network":[6,28,144],"de-anonymization":[7,29],"when":[8,109],"relationships":[9],"between":[10],"people":[11],"are":[12,111,136],"described":[13],"by":[14],"scale-free":[15],"graphs.":[16,145],"In":[17],"particular,":[18],"we":[19,66,117],"propose":[20],"a":[21,42,61,77,90],"rigorous,":[22],"asymptotic":[23],"mathematical":[24],"analysis":[25],"while":[31],"capturing":[32],"impact":[34],"power-law":[36],"node":[37,73],"degree":[38,74],"distribution,":[39],"which":[40],"is":[41],"fundamental":[43],"and":[44,60,116],"quite":[45],"ubiquitous":[46],"feature":[47],"many":[49],"complex":[50],"systems":[51],"such":[52],"as":[53,124,126],"networks.":[55],"By":[56],"applying":[57],"bootstrap":[58],"percolation":[59],"novel":[62],"graph":[63],"slicing":[64],"technique,":[65],"prove":[67],"that":[68,86,119],"large":[69],"inhomogeneities":[70],"in":[71,94],"lead":[75],"to":[76,96],"dramatic":[78],"reduction":[79],"initial":[82],"set":[83,108],"nodes":[85],"must":[87],"be":[88,123],"known":[89],"priori":[91],"(the":[92],"seeds)":[93],"order":[95],"successfully":[97],"identify":[98],"all":[99],"other":[100],"users.":[101],"characterize":[103],"size":[105],"this":[107],"seeds":[110],"selected":[112],"using":[113],"different":[114],"criteria,":[115],"show":[118],"their":[120],"number":[121],"can":[122],"small":[125,130],"n%":[127],"for":[128],"any":[129],"\u03b5":[131],">":[132],"0.":[133],"Our":[134],"results":[135],"validated":[137],"through":[138],"simulation":[139],"experiments":[140],"on":[141],"real":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-02-15T00:00:00"}