{"id":"https://openalex.org/W4310448352","doi":"https://doi.org/10.1109/tcss.2022.3219608","title":"Guest Editorial Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems","display_name":"Guest Editorial Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4310448352","doi":"https://doi.org/10.1109/tcss.2022.3219608"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3219608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3219608","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"},"type":"editorial","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":null,"display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5987-738X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5987-738X","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848699","display_name":"Takuro Sato","orcid":"https://orcid.org/0000-0002-1172-8131"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Sato","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009147954","display_name":"Vincenzo Piuri","orcid":"https://orcid.org/0000-0003-3178-8198"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Piuri","raw_affiliation_strings":["Department of Information Technology, University of Milan, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3178-8198","affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020975697","display_name":"Moayad Aloqaily","orcid":"https://orcid.org/0000-0003-2443-7234"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Moayad Aloqaily","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076994242","display_name":"Keping Yu","orcid":"https://orcid.org/0000-0001-5735-2507"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keping Yu","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5735-2507","affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.2504,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52548575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"6","first_page":"1589","last_page":"1593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9743000268936157,"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":0.9743000268936157,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9495999813079834,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9469000101089478,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.5868801474571228},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48435696959495544},{"id":"https://openalex.org/keywords/cognitive-computing","display_name":"Cognitive computing","score":0.4513687789440155},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.42306575179100037},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.39444035291671753},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2023904025554657},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1651661992073059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5868801474571228},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48435696959495544},{"id":"https://openalex.org/C92298750","wikidata":"https://www.wikidata.org/wiki/Q17008161","display_name":"Cognitive computing","level":3,"score":0.4513687789440155},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.42306575179100037},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.39444035291671753},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2023904025554657},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1651661992073059}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3219608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3219608","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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":28,"referenced_works":["https://openalex.org/W2584419678","https://openalex.org/W2791788394","https://openalex.org/W2995786667","https://openalex.org/W3048307099","https://openalex.org/W3081158114","https://openalex.org/W3213750995","https://openalex.org/W3215111019","https://openalex.org/W4200404607","https://openalex.org/W4205207661","https://openalex.org/W4206646158","https://openalex.org/W4206805067","https://openalex.org/W4214927057","https://openalex.org/W4226055292","https://openalex.org/W4226227790","https://openalex.org/W4226277040","https://openalex.org/W4226280199","https://openalex.org/W4226396069","https://openalex.org/W4285136945","https://openalex.org/W4285172795","https://openalex.org/W4285219596","https://openalex.org/W4285273223","https://openalex.org/W4285290202","https://openalex.org/W4286375194","https://openalex.org/W4293145333","https://openalex.org/W4294311165","https://openalex.org/W4295745550","https://openalex.org/W4295886291","https://openalex.org/W4311466185"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3155693618","https://openalex.org/W2081348319","https://openalex.org/W2058916350","https://openalex.org/W1974622901","https://openalex.org/W4248151009","https://openalex.org/W3127991229","https://openalex.org/W2074627502"],"abstract_inverted_index":{"Computational":[0],"social":[1,15,37],"systems":[2,16],"(CSSs)":[3],"focus":[4],"on":[5,93,106],"topics":[6],"such":[7,181],"as":[8,34,36,182],"modeling,":[9,97],"simulation,":[10],"analysis,":[11],"and":[12,28,31,40,63,95,98,113,131,142,189,194,220],"understanding":[13],"of":[14,58,61,68,110,225],"from":[17,70,168],"the":[18,56,59,165,223],"quantitative":[19],"and/or":[20],"computational":[21],"perspective.":[22],"\u201cSystems\u201d":[23],"can":[24,73,210],"be":[25,74],"man\u2013man,":[26],"man\u2013machine,":[27],"machine\u2013machine":[29],"organizations":[30],"adversarial":[32],"situations":[33],"well":[35],"media":[38],"structures":[39],"their":[41],"dynamics":[42],"<xref":[43,49,144,150,156],"ref-type=\"bibr\"":[44,50,145,151,157],"rid=\"ref1\"":[45],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46,52,147,153,159],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[1]</xref>":[47],",":[48,149,155],"rid=\"ref2\"":[51],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[2]</xref>":[53],".":[54,161],"With":[55],"advance":[57],"Internet":[60],"Things":[62],"communication":[64],"technologies,":[65],"various":[66],"kinds":[67],"data":[69,112,184,187,192],"diverse":[71],"areas":[72],"acquired":[75],"nowadays.":[76],"As":[77],"a":[78,202,206],"result,":[79],"CSSs":[80,87,174,217],"are":[81],"becoming":[82],"ever":[83],"more":[84,218],"complex.":[85],"Data-driven":[86],"aim":[88],"to":[89,164,171],"conduct":[90],"pre-competitive":[91],"research":[92],"architectures":[94],"design,":[96],"analysis":[99],"techniques":[100],"for":[101,205],"cyber-physical":[102],"systems,":[103,120,128,137],"with":[104,212],"emphasis":[105],"making":[107],"full":[108],"use":[109],"big":[111,226],"artificial":[114],"intelligence.":[115],"These":[116],"applications":[117],"include":[118],"transportation":[119],"automation,":[121],"security,":[122],"smart":[123,125],"buildings,":[124],"cities,":[126],"medical":[127],"energy":[129],"generation":[130],"distribution,":[132,134],"water":[133],"agriculture,":[135],"military":[136],"process":[138],"control,":[139],"asset":[140],"management,":[141],"robotics":[143],"rid=\"ref3\"":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[3]</xref>":[148],"rid=\"ref4\"":[152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[4]</xref>":[154],"rid=\"ref5\"":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[5]</xref>":[160],"However,":[162],"due":[163],"progressive":[166],"transformation":[167],"host-centric":[169],"networking":[170],"information-centric":[172],"networking,":[173],"pose":[175],"fundamental":[176],"challenges":[177],"in":[178,215,222],"multiple":[179],"aspects,":[180],"heterogeneous":[183],"generation,":[185],"efficient":[186],"sensing":[188],"collection,":[190],"real-time":[191],"processing,":[193],"greater":[195],"request":[196],"arrival":[197],"rates.":[198],"Thus,":[199],"there":[200],"is":[201],"great":[203],"need":[204],"powerful":[207],"way":[208],"that":[209],"deal":[211],"emerging":[213],"issues":[214],"data-driven":[216],"efficiently":[219],"effectively":[221],"age":[224],"data.":[227]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}