{"id":"https://openalex.org/W2103133870","doi":"https://doi.org/10.1145/1526709.1526781","title":"To join or not to join","display_name":"To join or not to join","publication_year":2009,"publication_date":"2009-04-20","ids":{"openalex":"https://openalex.org/W2103133870","doi":"https://doi.org/10.1145/1526709.1526781","mag":"2103133870"},"language":"en","primary_location":{"id":"doi:10.1145/1526709.1526781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1526709.1526781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international conference on World wide web","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/A5071079350","display_name":"Elena Zheleva","orcid":"https://orcid.org/0000-0001-7662-2568"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elena Zheleva","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086169451","display_name":"Lise Getoor","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lise Getoor","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071079350"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":55.4126,"has_fulltext":false,"cited_by_count":536,"citation_normalized_percentile":{"value":0.99913233,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"531","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9983999729156494,"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/friendship","display_name":"Friendship","score":0.7641036510467529},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7601906061172485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7493336200714111},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.625339150428772},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.6040415167808533},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5885916948318481},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5261116623878479},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5229623913764954},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5181583166122437},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4798662066459656},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4685911536216736},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.4517703056335449},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4239910840988159},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3694397211074829},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36002594232559204},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.346835732460022},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3353580832481384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.085335373878479}],"concepts":[{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.7641036510467529},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7601906061172485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493336200714111},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.625339150428772},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.6040415167808533},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5885916948318481},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5261116623878479},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5229623913764954},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5181583166122437},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4798662066459656},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4685911536216736},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.4517703056335449},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4239910840988159},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3694397211074829},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36002594232559204},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.346835732460022},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3353580832481384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.085335373878479},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1526709.1526781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1526709.1526781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international conference on World wide web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1544573083","https://openalex.org/W1585529040","https://openalex.org/W1980347317","https://openalex.org/W1998091733","https://openalex.org/W2102831150","https://openalex.org/W2107107106","https://openalex.org/W2108805307","https://openalex.org/W2110156460","https://openalex.org/W2119047901","https://openalex.org/W2124849257","https://openalex.org/W2134479759","https://openalex.org/W2135866194","https://openalex.org/W2135930857","https://openalex.org/W2136114025","https://openalex.org/W2136693028","https://openalex.org/W2137253512","https://openalex.org/W2153959628","https://openalex.org/W2161229593","https://openalex.org/W2162450625","https://openalex.org/W2163263459","https://openalex.org/W2429914308","https://openalex.org/W2605441573","https://openalex.org/W2911978475","https://openalex.org/W3125647857","https://openalex.org/W4285719527","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W3122007822","https://openalex.org/W4229600140","https://openalex.org/W317272953","https://openalex.org/W2108730513","https://openalex.org/W3148806143","https://openalex.org/W3157697804","https://openalex.org/W2371258175","https://openalex.org/W2596305496","https://openalex.org/W118448456","https://openalex.org/W2290534421"],"abstract_inverted_index":{"In":[0,20],"order":[1],"to":[2,12,43,54,76,88,135],"address":[3],"privacy":[4,137],"concerns,":[5],"many":[6],"social":[7,32,104,140],"media":[8,105],"websites":[9],"allow":[10],"users":[11],"hide":[13],"their":[14],"personal":[15],"profiles":[16,42],"from":[17],"the":[18,45,113,119,126],"public.":[19],"this":[21,52,124],"work,":[22],"we":[23,60,107],"show":[24,99],"how":[25],"an":[26,30],"adversary":[27],"can":[28,92,108],"exploit":[29],"online":[31],"network":[33],"with":[34,142],"a":[35,55],"mixture":[36],"of":[37,48,95,115,121],"public":[38,144],"and":[39,59,67,110,132,145],"private":[40,46,146],"user":[41,147],"predict":[44],"attributes":[47],"users.":[49,117],"We":[50,98],"map":[51],"problem":[53,58],"relational":[56],"classification":[57,134],"propose":[61],"practical":[62],"models":[63],"that":[64,85,100,129],"use":[65],"friendship":[66,89],"group":[68],"membership":[69],"information":[70,114],"(which":[71],"is":[72,84,125],"often":[73],"not":[74],"hidden)":[75],"infer":[77],"sensitive":[78],"attributes.":[79],"The":[80],"key":[81],"novel":[82],"idea":[83],"in":[86,139],"addition":[87],"links,":[90],"groups":[91],"be":[93],"carriers":[94],"significant":[96],"information.":[97],"on":[101],"several":[102],"well-known":[103],"sites,":[106],"easily":[109],"accurately":[111],"recover":[112],"private-profile":[116],"To":[118],"best":[120],"our":[122],"knowledge,":[123],"first":[127],"work":[128],"uses":[130],"link-based":[131],"group-based":[133],"study":[136],"implications":[138],"networks":[141],"mixed":[143],"profiles.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":35},{"year":2016,"cited_by_count":37},{"year":2015,"cited_by_count":39},{"year":2014,"cited_by_count":70},{"year":2013,"cited_by_count":82},{"year":2012,"cited_by_count":49}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}