{"id":"https://openalex.org/W4294691738","doi":"https://doi.org/10.1109/access.2022.3204041","title":"Predicting the Robustness of Real-World Complex Networks","display_name":"Predicting the Robustness of Real-World Complex Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294691738","doi":"https://doi.org/10.1109/access.2022.3204041"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3204041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204041","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09875263.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09875263.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090876580","display_name":"Ruizi Wu","orcid":"https://orcid.org/0000-0002-0137-6320"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizi Wu","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University, Chengdu, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040243673","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0003-3686-7784"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University, Chengdu, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063339893","display_name":"Zhuoran Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoran Yu","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University, Chengdu, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100646953","display_name":"Junli Li","orcid":"https://orcid.org/0000-0001-5323-858X"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junli Li","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5323-858X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University, Chengdu, China","institution_ids":["https://openalex.org/I63354593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6261,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66320124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"94376","last_page":"94387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9817000031471252,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9717000126838684,"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":0.921054482460022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397757768630981},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5590629577636719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4646327793598175},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.43754372000694275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4088318943977356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3787301182746887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13147631287574768}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.921054482460022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397757768630981},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5590629577636719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4646327793598175},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.43754372000694275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4088318943977356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3787301182746887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13147631287574768},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3204041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204041","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09875263.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de53f40c7ad640da9ab13b196a5e8313","is_oa":true,"landing_page_url":"https://doaj.org/article/de53f40c7ad640da9ab13b196a5e8313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 94376-94387 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3204041","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204041","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09875263.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5482204356","display_name":null,"funder_award_id":"62002249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294691738.pdf","grobid_xml":"https://content.openalex.org/works/W4294691738.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1940227326","https://openalex.org/W1967385589","https://openalex.org/W1975522802","https://openalex.org/W1982821381","https://openalex.org/W1989400610","https://openalex.org/W1995213405","https://openalex.org/W2008620264","https://openalex.org/W2062215476","https://openalex.org/W2076063813","https://openalex.org/W2101420429","https://openalex.org/W2106308430","https://openalex.org/W2106569518","https://openalex.org/W2112090702","https://openalex.org/W2146162554","https://openalex.org/W2161980199","https://openalex.org/W2170766502","https://openalex.org/W2322089510","https://openalex.org/W2345506570","https://openalex.org/W2584419678","https://openalex.org/W2782828920","https://openalex.org/W2927561076","https://openalex.org/W2963234936","https://openalex.org/W2964145825","https://openalex.org/W2969834664","https://openalex.org/W3084119723","https://openalex.org/W3098774195","https://openalex.org/W3119704631","https://openalex.org/W3122998099","https://openalex.org/W3197013275","https://openalex.org/W4236892861","https://openalex.org/W4238452917","https://openalex.org/W4242291765","https://openalex.org/W4242930685","https://openalex.org/W4247128285","https://openalex.org/W6713582119"],"related_works":["https://openalex.org/W2816934851","https://openalex.org/W3013256330","https://openalex.org/W4391793058","https://openalex.org/W1982821381","https://openalex.org/W2508095019","https://openalex.org/W2594902070","https://openalex.org/W2560597738","https://openalex.org/W2511287128","https://openalex.org/W3105881406","https://openalex.org/W2765453580"],"abstract_inverted_index":{"Many":[0],"real-world":[1,81,117,121,161,178],"natural":[2],"and":[3,15,34,41,130,172],"social":[4],"systems":[5,53],"can":[6,18,164,180],"be":[7,165,181],"modeled":[8],"as":[9],"complex":[10,25,118,162],"networks.":[11,119,155],"Since":[12],"random":[13],"failures":[14],"malicious":[16],"attacks":[17,56],"seriously":[19],"destroy":[20],"the":[21,24,36,48,51,68,77,114,139,142,174,188],"structure":[22],"of":[23,50,61,79,116,141,153,177],"networks,":[26],"it":[27],"is":[28,83,110,134,147],"critical":[29],"to":[30,46,65,94],"ensure":[31],"its":[32],"robustness":[33,40,43,70,78,97,115,132,175],"maintain":[35],"functions.":[37],"Generally,":[38],"connectivity":[39],"controllability":[42],"are":[44,63,123],"adopted":[45],"evaluate":[47],"performance":[49,133,176],"networked":[52],"against":[54],"external":[55],"and/or":[57],"failures.":[58],"A":[59],"sequence":[60],"values":[62],"measured":[64],"dynamically":[66],"indicate":[67],"network":[69,96,105,128,144],"with":[71,169,183],"iterative":[72],"node-":[73],"or":[74],"edge-removal.":[75],"Calculating":[76],"large-scaled":[80],"networks":[82,122,163,179],"usually":[84],"time":[85],"consuming,":[86],"while":[87],"deep-learning":[88],"has":[89],"provided":[90],"an":[91],"efficient":[92],"methodology":[93],"estimate":[95],"performance.":[98],"In":[99],"this":[100],"paper,":[101],"a":[102,150],"multi-convolutional":[103],"neural":[104],"(CNN)":[106],"method":[107],"called":[108],"Real-RP":[109],"designed":[111],"for":[112],"predicting":[113],"Unknown":[120],"firstly":[124],"classified":[125,166],"into":[126],"known":[127],"category,":[129],"their":[131],"then":[135],"predicted":[136,182],"based":[137],"on":[138],"knowledge":[140],"specific":[143],"category":[145],"that":[146],"trained":[148],"using":[149],"substantial":[151],"number":[152],"synthetic":[154],"Experimental":[156],"results":[157],"show":[158],"that:":[159],"1)":[160],"by":[167],"CNN":[168],"high":[170],"precision;":[171],"2)":[173],"low":[184],"average":[185],"errors":[186],"than":[187],"existing":[189],"methods.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}