{"id":"https://openalex.org/W2888276855","doi":"https://doi.org/10.1109/tvcg.2018.2865021","title":"GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms","display_name":"GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms","publication_year":2018,"publication_date":"2018-08-20","ids":{"openalex":"https://openalex.org/W2888276855","doi":"https://doi.org/10.1109/tvcg.2018.2865021","mag":"2888276855","pmid":"https://pubmed.ncbi.nlm.nih.gov/30136967"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2018.2865021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2865021","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5006575291","display_name":"Xumeng Wang","orcid":"https://orcid.org/0000-0002-9525-9298"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xumeng Wang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344494","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-8365-4741"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061957179","display_name":"Jia\u2010Kai Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia-Kai Chou","raw_affiliation_strings":["University of California, Davis"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043391973","display_name":"Chris Bryan","orcid":"https://orcid.org/0000-0003-2430-815X"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Bryan","raw_affiliation_strings":["University of California, Davis"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044425959","display_name":"Huihua Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Huihua Guan","raw_affiliation_strings":["Zhejiang University, Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Alibaba Group","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104157412","display_name":"Wenlong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Chen","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089718561","display_name":"Rusheng Pan","orcid":"https://orcid.org/0000-0001-9284-0477"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rusheng Pan","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["University of California, Davis"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5006575291"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":4.4,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95526186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"193","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9966999888420105,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8650573492050171},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6578514575958252},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.510316789150238},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4876817464828491},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4601519703865051},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4576415717601776},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.41951465606689453},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4176179766654968},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40516096353530884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39055415987968445},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3536936938762665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32433781027793884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31903189420700073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8650573492050171},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6578514575958252},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.510316789150238},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4876817464828491},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4601519703865051},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4576415717601776},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.41951465606689453},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4176179766654968},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40516096353530884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39055415987968445},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3536936938762665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32433781027793884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31903189420700073},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2018.2865021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2865021","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:30136967","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30136967","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G28199536","display_name":null,"funder_award_id":"IIS-1741536","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3665848037","display_name":null,"funder_award_id":"61761136020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5271377973","display_name":null,"funder_award_id":"IIS-1320229","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5842681424","display_name":null,"funder_award_id":"61772456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W20667085","https://openalex.org/W51987601","https://openalex.org/W1453544075","https://openalex.org/W1564631807","https://openalex.org/W1574303240","https://openalex.org/W1579505926","https://openalex.org/W1971421925","https://openalex.org/W1971937094","https://openalex.org/W1984522981","https://openalex.org/W1998091733","https://openalex.org/W2002779084","https://openalex.org/W2009858410","https://openalex.org/W2017232808","https://openalex.org/W2025517427","https://openalex.org/W2032186932","https://openalex.org/W2056944867","https://openalex.org/W2057685268","https://openalex.org/W2065080511","https://openalex.org/W2065228400","https://openalex.org/W2071124968","https://openalex.org/W2087194317","https://openalex.org/W2090509226","https://openalex.org/W2094755907","https://openalex.org/W2096296626","https://openalex.org/W2102086994","https://openalex.org/W2104355163","https://openalex.org/W2106947050","https://openalex.org/W2116759966","https://openalex.org/W2121037445","https://openalex.org/W2124849257","https://openalex.org/W2128248866","https://openalex.org/W2129061523","https://openalex.org/W2129117379","https://openalex.org/W2131841184","https://openalex.org/W2135239779","https://openalex.org/W2139694940","https://openalex.org/W2141115795","https://openalex.org/W2147405597","https://openalex.org/W2155461593","https://openalex.org/W2158453355","https://openalex.org/W2159024459","https://openalex.org/W2159675343","https://openalex.org/W2163263459","https://openalex.org/W2166327991","https://openalex.org/W2168433392","https://openalex.org/W2168792791","https://openalex.org/W2175523054","https://openalex.org/W2175971604","https://openalex.org/W2314240464","https://openalex.org/W2558750989","https://openalex.org/W2608355501","https://openalex.org/W2752870980","https://openalex.org/W2754406527","https://openalex.org/W2755642197","https://openalex.org/W2773466809","https://openalex.org/W2797602122","https://openalex.org/W3006663570","https://openalex.org/W4243863038","https://openalex.org/W6634938883","https://openalex.org/W6679290131","https://openalex.org/W6680066953","https://openalex.org/W6683180375","https://openalex.org/W6685143187","https://openalex.org/W6685869566","https://openalex.org/W6730015182","https://openalex.org/W6736575582","https://openalex.org/W6744403726"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W4396832952","https://openalex.org/W3046095319","https://openalex.org/W3197497514","https://openalex.org/W1591172238","https://openalex.org/W2111194702","https://openalex.org/W2972172135","https://openalex.org/W2116878667","https://openalex.org/W315296216","https://openalex.org/W1787552957"],"abstract_inverted_index":{"Analyzing":[0],"social":[1],"networks":[2],"reveals":[3],"the":[4,11,27,38,62,71,75,78,121],"relationships":[5],"between":[6],"individuals":[7],"and":[8,130],"groups":[9],"in":[10,138],"data.":[12],"However,":[13],"such":[14],"analysis":[15],"can":[16,110],"also":[17],"lead":[18],"to":[19],"privacy":[20,59,100,106],"exposure":[21],"(whether":[22],"intentionally":[23],"or":[24],"inadvertently):":[25],"leaking":[26],"real-world":[28],"identity":[29],"of":[30,65,77,123],"ostensibly":[31],"anonymous":[32],"individuals.":[33],"Most":[34],"sanitization":[35],"strategies":[36,72],"modify":[37],"graph's":[39],"structure":[40],"based":[41],"on":[42],"hypothesized":[43],"tactics":[44],"that":[45,94],"an":[46],"adversary":[47],"would":[48],"employ.":[49],"While":[50],"combining":[51],"multiple":[52,105],"anonymization":[53],"schemes":[54,108],"provides":[55],"a":[56,81,91,96,99,116],"more":[57],"comprehensive":[58],"protection,":[60],"deciding":[61],"appropriate":[63],"set":[64],"techniques-along":[66],"with":[67,135],"evaluating":[68],"how":[69],"applying":[70],"will":[73],"affect":[74],"utility":[76],"anonymized":[79],"results-remains":[80],"significant":[82],"challenge.":[83],"To":[84,119],"address":[85],"this":[86],"problem,":[87],"we":[88,125],"introduce":[89],"GraphProtector,":[90,124],"visual":[92],"interface":[93],"guides":[95],"user":[97],"through":[98],"preservation":[101],"pipeline.":[102],"GraphProtector":[103],"enables":[104],"protection":[107],"which":[109],"be":[111],"simultaneously":[112],"combined":[113],"together":[114],"as":[115],"hybrid":[117],"approach.":[118],"demonstrate":[120],"effectiveness":[122],"report":[126],"several":[127],"case":[128],"studies":[129],"feedback":[131],"collected":[132],"from":[133],"interviews":[134],"expert":[136],"users":[137],"various":[139],"scenarios.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
