{"id":"https://openalex.org/W3175821270","doi":"https://doi.org/10.1109/tkde.2021.3085570","title":"Edge Manipulation Approaches for K-core Minimization: Metrics and Analytics","display_name":"Edge Manipulation Approaches for K-core Minimization: Metrics and Analytics","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3175821270","doi":"https://doi.org/10.1109/tkde.2021.3085570","mag":"3175821270"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3085570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3085570","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5041446763","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-3908-6545"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: chenc@zjgsu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: chenc@zjgsu.edu.cn)","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063121283","display_name":"Qiuyu Zhu","orcid":"https://orcid.org/0000-0003-4742-9464"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyu Zhu","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: qiuyuz.zjgsu@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: qiuyuz.zjgsu@gmail.com)","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004779173","display_name":"Renjie Sun","orcid":"https://orcid.org/0000-0002-8988-8127"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renjie Sun","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: renjiesun.zjgsu@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: renjiesun.zjgsu@gmail.com)","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768777","display_name":"Xiaoyang Wang","orcid":"https://orcid.org/0000-0003-3554-3219"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: xiaoyangw.unsw@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: xiaoyangw.unsw@gmail.com)","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103260883","display_name":"Yanping Wu","orcid":"https://orcid.org/0000-0001-8804-4208"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wu","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: yanpingw.zjgsu@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, 12625 Hangzhou, Zhejiang, China, (e-mail: yanpingw.zjgsu@gmail.com)","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041446763"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":2.8558,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91550059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9858999848365784,"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/T11478","display_name":"Caching and Content Delivery","score":0.9819999933242798,"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/computer-science","display_name":"Computer science","score":0.74971604347229},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.648761510848999},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5990806818008423},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5341941714286804},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5170319676399231},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5101392865180969},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49683907628059387},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.49665194749832153},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44187480211257935},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4388274848461151},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4299893379211426},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4157714545726776},{"id":"https://openalex.org/keywords/group-cohesiveness","display_name":"Group cohesiveness","score":0.41456273198127747},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4082355201244354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30457955598831177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24123376607894897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23870614171028137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74971604347229},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.648761510848999},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5990806818008423},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5341941714286804},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5170319676399231},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5101392865180969},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49683907628059387},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.49665194749832153},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44187480211257935},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4388274848461151},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4299893379211426},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4157714545726776},{"id":"https://openalex.org/C14641543","wikidata":"https://www.wikidata.org/wiki/Q553270","display_name":"Group cohesiveness","level":2,"score":0.41456273198127747},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4082355201244354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30457955598831177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24123376607894897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23870614171028137},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3085570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3085570","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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":27,"referenced_works":["https://openalex.org/W1154358131","https://openalex.org/W1676999057","https://openalex.org/W1970381667","https://openalex.org/W1988957755","https://openalex.org/W2011986160","https://openalex.org/W2046651078","https://openalex.org/W2065769502","https://openalex.org/W2133131640","https://openalex.org/W2148606255","https://openalex.org/W2156020699","https://openalex.org/W2184870596","https://openalex.org/W2228089378","https://openalex.org/W2431497588","https://openalex.org/W2512056455","https://openalex.org/W2548533766","https://openalex.org/W2558384379","https://openalex.org/W2592340121","https://openalex.org/W2604873699","https://openalex.org/W2802038099","https://openalex.org/W2897679181","https://openalex.org/W2965535725","https://openalex.org/W2966737735","https://openalex.org/W3046475493","https://openalex.org/W3089294183","https://openalex.org/W3117764177","https://openalex.org/W6637459119","https://openalex.org/W6686449064"],"related_works":["https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W3204684126","https://openalex.org/W3117290964","https://openalex.org/W1594413663","https://openalex.org/W189401716","https://openalex.org/W2019216770","https://openalex.org/W2574250816","https://openalex.org/W2898570308","https://openalex.org/W2544904580"],"abstract_inverted_index":{"In":[0],"social":[1,161],"networks,":[2],"dense":[3],"relationships":[4],"among":[5],"users":[6,17],"contribute":[7],"to":[8,18,25,68,165],"stable":[9],"communities.":[10],"Breakdowns":[11],"of":[12,29,49,73,85,95,171],"critical":[13],"connections":[14],"may":[15],"cause":[16],"leave":[19],"the":[20,27,47,83,88,93,98,104,109,119,124,167],"group.":[21],"A":[22],"popular":[23],"model":[24],"measure":[26],"cohesiveness":[28],"a":[30,59,63,70,131],"network":[31],"is":[32,136],"k-core":[33,50,90,100],"or":[34],"coreness.":[35],"To":[36,138],"identify":[37],"important":[38],"connections,":[39],"in":[40,87,97,108],"this":[41],"paper,":[42],"we":[43,66],"propose":[44],"and":[45,62,102,121,152,169,175],"investigate":[46],"problem":[48,52],"minimization":[51],"under":[53],"three":[54,125],"different":[55],"metrics.":[56],"Specifically,":[57],"given":[58],"graph":[60],"G":[61],"budget":[64],"b,":[65],"aim":[67],"retrieve":[69],"set":[71,112],"B":[72],"b":[74],"edges":[75,96],"for":[76,140],"deletion":[77],"purpose,":[78],"which":[79],"can":[80],"minimize":[81],"i)":[82],"number":[84,94],"nodes":[86],"collapsed":[89,99],"(KNM),":[91],"ii)":[92],"(KEM),":[101],"iii)":[103],"overall":[105],"coreness":[106],"decreased":[107],"target":[110],"node":[111],"P":[113],"(KCM).":[114],"We":[115],"first":[116],"formally":[117],"define":[118],"problems":[120,126],"prove":[122],"that":[123],"are":[127,145,163],"all":[128],"NP-hard.":[129],"Then,":[130],"baseline":[132],"greedy":[133],"searching":[134],"framework":[135],"developed.":[137],"scale":[139],"large":[141],"graphs,":[142],"optimized":[143],"algorithms":[144],"developed":[146],"by":[147],"integrating":[148],"novel":[149],"pruning":[150],"strategies":[151],"group-based":[153],"structures.":[154],"Finally,":[155],"comprehensive":[156],"experiments":[157],"on":[158],"6":[159],"real":[160],"networks":[162],"conducted":[164],"demonstrate":[166],"efficiency":[168],"effectiveness":[170],"our":[172],"proposed":[173],"models":[174],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
