{"id":"https://openalex.org/W3176056583","doi":"https://doi.org/10.1109/icccs52626.2021.9449152","title":"Differentially Private Node Similarity Matrix Release for Large-Scale Social Networks","display_name":"Differentially Private Node Similarity Matrix Release for Large-Scale Social Networks","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3176056583","doi":"https://doi.org/10.1109/icccs52626.2021.9449152","mag":"3176056583"},"language":"en","primary_location":{"id":"doi:10.1109/icccs52626.2021.9449152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449152","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","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/A5076859128","display_name":"Yunfeng Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunfeng Zou","raw_affiliation_strings":["State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023371171","display_name":"Ning Wu","orcid":"https://orcid.org/0000-0003-0616-3460"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Wu","raw_affiliation_strings":["State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060875295","display_name":"Chao Shan","orcid":"https://orcid.org/0000-0003-4732-1015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Shan","raw_affiliation_strings":["State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062043937","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-9818-2011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Marketing Service Center (Metrology Center),Nanjing,China,210036","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1465,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36793527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"199","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T11716","display_name":"Random Matrices and Applications","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9857000112533569,"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/differential-privacy","display_name":"Differential privacy","score":0.7153830528259277},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6681007742881775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6501020193099976},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4881223142147064},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47309449315071106},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4592802822589874},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41505929827690125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34901362657546997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3449113368988037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32300546765327454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2512059807777405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23756176233291626},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1781681776046753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08764338493347168}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7153830528259277},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6681007742881775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501020193099976},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4881223142147064},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47309449315071106},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4592802822589874},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41505929827690125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34901362657546997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3449113368988037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32300546765327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2512059807777405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23756176233291626},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1781681776046753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08764338493347168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs52626.2021.9449152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449152","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2009952684","https://openalex.org/W2010523825","https://openalex.org/W2026417691","https://openalex.org/W2027595342","https://openalex.org/W2083287929","https://openalex.org/W2119874464","https://openalex.org/W2130789338","https://openalex.org/W2149479912","https://openalex.org/W2156718197","https://openalex.org/W2168433392","https://openalex.org/W2294347342","https://openalex.org/W2296635479","https://openalex.org/W2473418344","https://openalex.org/W2508667469","https://openalex.org/W2789607830","https://openalex.org/W2795735740","https://openalex.org/W2812083516","https://openalex.org/W2887231273","https://openalex.org/W2950943617","https://openalex.org/W2963224980","https://openalex.org/W2963874210","https://openalex.org/W2964022804","https://openalex.org/W3006663570","https://openalex.org/W3101413764","https://openalex.org/W4205228770","https://openalex.org/W6677855611","https://openalex.org/W6679290131","https://openalex.org/W6682755970","https://openalex.org/W6697593737","https://openalex.org/W6733721952","https://openalex.org/W6744240537"],"related_works":["https://openalex.org/W1641227098","https://openalex.org/W2259426431","https://openalex.org/W4294953534","https://openalex.org/W3212986373","https://openalex.org/W319020192","https://openalex.org/W3132729631","https://openalex.org/W187707511","https://openalex.org/W1980837560","https://openalex.org/W2887231273","https://openalex.org/W2064237292"],"abstract_inverted_index":{"Node":[0],"similarity,":[1],"which":[2,110,181,221],"is":[3,57,74,255],"usually":[4],"released":[5],"in":[6,35,44,112,235],"the":[7,13,30,45,52,65,102,105,138,142,172,184,200,223,232,238,244,248,278],"form":[8,201],"of":[9,67,104,108,126,132,202,231,240,251,282],"a":[10,75,96,124,156,176,215],"matrix,":[11],"provides":[12],"basis":[14],"for":[15,163,197],"network":[16,32,55,268],"analysis.":[17],"However,":[18],"directly":[19],"releasing":[20],"node":[21,36,61,164,263],"similarity":[22,37,62,165,264],"matrix":[23,63,71,160,166,265],"may":[24],"entail":[25],"privacy":[26,43,159,229],"risk.":[27],"More":[28],"concretely,":[29],"sensitive":[31],"structure":[33,269],"implied":[34],"potentially":[38],"poses":[39],"threats":[40],"to":[41,58,78,134,169,205,257],"individual":[42],"original":[46],"network.":[47],"For":[48],"large-scale":[49],"social":[50],"networks,":[51],"problem":[53],"with":[54,266],"analysis":[56,254],"extract":[59],"effective":[60],"on":[64,243],"premise":[66],"preserving":[68,247],"privacy.":[69,275],"Privacy-preserving":[70],"factorization":[72,161],"(MF)":[73],"valid":[76],"means":[77],"address":[79],"this":[80],"problem.":[81],"Existing":[82],"methods":[83,94,117],"using":[84],"differentially":[85],"private":[86,120,216],"MF,":[87,109],"however,":[88],"have":[89],"two":[90],"limitations.":[91],"First,":[92],"existing":[93,116],"incur":[95],"complex":[97],"analytic":[98],"calculation":[99],"when":[100],"reaping":[101],"gradient":[103,121,143,178,208,245],"objective":[106],"function":[107],"results":[111],"poor":[113,146],"scalability.":[114],"Second,":[115],"typically":[118],"use":[119],"descent":[122],"as":[123],"solver":[125],"MF":[127],"yet":[128],"require":[129],"adding":[130],"plenty":[131],"noise":[133,225,233,242],"each":[135],"gradient,":[136,173],"swamping":[137],"signal":[139],"provided":[140,256],"by":[141,151],"and":[144,189,280],"rendering":[145],"overall":[147],"result":[148],"quality.":[149],"Motivated":[150],"this,":[152],"we":[153,174,213],"propose":[154],"GPMF,":[155],"generic":[157],"differential":[158,228],"method":[162],"release.":[167],"Specifically,":[168],"uniformly":[170],"calculate":[171],"design":[175],"provable":[177],"estimation":[179],"method,":[180],"theoretically":[182],"reveals":[183],"intrinsic":[185],"relationship":[186],"between":[187],"actual":[188],"estimated":[190],"gradients":[191],"whose":[192],"error":[193,209],"can":[194],"be":[195],"preset":[196],"optimization,":[198],"liberating":[199],"function.":[203],"Further,":[204],"achieve":[206],"optimal":[207],"without":[210],"compromising":[211],"privacy,":[212],"devise":[214],"Langevin":[217],"Monte":[218],"Carlowe":[219],"(LMC),":[220],"uses":[222],"Gaussian":[224],"that":[226,259],"satisfies":[227],"instead":[230],"term":[234],"LMC,":[236],"eliminating":[237],"damage":[239],"extra":[241],"while":[246,271],"inner":[249],"property":[250],"LMC.":[252],"Theoretical":[253],"ensure":[258],"GPMF":[260],"yields":[261],"processed":[262],"high":[267],"utility":[270],"obeying":[272],"(&#x03B5;,":[273],"&#x03B4;)-differential":[274],"Simulations":[276],"confirm":[277],"effectiveness":[279],"efficiency":[281],"GPMF.":[283]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
