{"id":"https://openalex.org/W2971737672","doi":"https://doi.org/10.1109/tcsii.2019.2938894","title":"Robustness of Link Prediction Under Network Attacks","display_name":"Robustness of Link Prediction Under Network Attacks","publication_year":2019,"publication_date":"2019-09-06","ids":{"openalex":"https://openalex.org/W2971737672","doi":"https://doi.org/10.1109/tcsii.2019.2938894","mag":"2971737672"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2019.2938894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2938894","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5044047318","display_name":"Cunlai Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cunlai Pu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366658","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0002-4078-4597"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004452499","display_name":"Yongxiang Xia","orcid":"https://orcid.org/0000-0001-6271-9588"},"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":"Yongxiang Xia","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044047318"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.1583,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78570319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"67","issue":"8","first_page":"1472","last_page":"1476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9939000010490417,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/robustness","display_name":"Robustness (evolution)","score":0.764365017414093},{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.7373496890068054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128648519515991},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.4560910761356354},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.340050607919693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3356093764305115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16415953636169434},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16101300716400146}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.764365017414093},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.7373496890068054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128648519515991},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.4560910761356354},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.340050607919693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3356093764305115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16415953636169434},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16101300716400146},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2019.2938894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2938894","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W41377044","https://openalex.org/W1513096004","https://openalex.org/W1564354600","https://openalex.org/W1964392667","https://openalex.org/W1967385589","https://openalex.org/W1979104937","https://openalex.org/W1994321911","https://openalex.org/W2003100435","https://openalex.org/W2007444087","https://openalex.org/W2008620264","https://openalex.org/W2017099446","https://openalex.org/W2024060531","https://openalex.org/W2026417691","https://openalex.org/W2037933327","https://openalex.org/W2047632644","https://openalex.org/W2065769502","https://openalex.org/W2099970772","https://openalex.org/W2118440866","https://openalex.org/W2142281120","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2159094788","https://openalex.org/W2202041710","https://openalex.org/W2417010772","https://openalex.org/W2419297638","https://openalex.org/W2556257735","https://openalex.org/W2564084673","https://openalex.org/W2739341114","https://openalex.org/W2789443491","https://openalex.org/W2801438158","https://openalex.org/W2804302282","https://openalex.org/W2920819974","https://openalex.org/W3049187163","https://openalex.org/W3103071483","https://openalex.org/W4232932184","https://openalex.org/W4246877238"],"related_works":["https://openalex.org/W2086567524","https://openalex.org/W2348741924","https://openalex.org/W2923400089","https://openalex.org/W3216533864","https://openalex.org/W2511001188","https://openalex.org/W2038716501","https://openalex.org/W3103268342","https://openalex.org/W2996114178","https://openalex.org/W2976008953","https://openalex.org/W2762988188"],"abstract_inverted_index":{"Link":[0],"prediction":[1,34,138],"in":[2,20],"networks":[3],"has":[4,15,96,144],"been":[5,17],"a":[6,65,80],"hot":[7],"topic":[8],"over":[9],"the":[10,21,29,61,76,88,97,103,107,111,120,129,136],"years,":[11],"while":[12],"its":[13],"robustness":[14,30],"not":[16],"well":[18],"discussed":[19],"network":[22,40],"literature.":[23],"In":[24,60,93],"this":[25],"brief,":[26],"we":[27,72,133],"study":[28],"of":[31,39,63,69,83,90,113],"mainstream":[32],"link":[33,70,84,91,137],"methods":[35],"under":[36],"various":[37],"kinds":[38],"attacks,":[41],"including":[42],"random":[43],"attack":[44,48,52,58,99,123,146],"(RDA),":[45],"centrality":[46],"based":[47,51,57,122],"(CA),":[49],"similarity":[50],"(SA),":[53],"and":[54,78,105,148],"simulated":[55],"annealing":[56],"(SAA).":[59],"variation":[62],"precision,":[64],"typical":[66],"evaluation":[67],"index":[68],"prediction,":[71],"find":[73],"that":[74,135],"for":[75],"SA":[77,104],"SAA,":[79],"small":[81],"fraction":[82],"removals":[85],"significantly":[86],"degenerates":[87],"performance":[89,112,142],"prediction.":[92],"general,":[94],"SAA":[95],"highest":[98],"efficiency,":[100],"followed":[101],"by":[102],"then":[106],"CA":[108,116],"attack.":[109,131],"Interestingly,":[110],"some":[114],"particular":[115],"strategies,":[117],"such":[118],"as":[119],"betweenness":[121],"(BA),":[124],"are":[125],"even":[126],"worse":[127],"than":[128],"RDA":[130],"Furthermore,":[132],"discover":[134],"method":[139],"with":[140],"high":[141],"probably":[143],"low":[145],"robustness,":[147],"vice":[149],"versa.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
