{"id":"https://openalex.org/W4401329472","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611981","title":"Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators","display_name":"Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401329472","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611981"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10611981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5071052291","display_name":"Jiaqi Wen","orcid":"https://orcid.org/0000-0002-5980-5140"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jiaqi Wen","raw_affiliation_strings":["Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083181106","display_name":"Bogdan Gabry\u015b","orcid":"https://orcid.org/0000-0002-0790-2846"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bogdan Gabrys","raw_affiliation_strings":["Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051832847","display_name":"Katarzyna Musia\u0142","orcid":"https://orcid.org/0000-0001-6038-7647"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Katarzyna Musial","raw_affiliation_strings":["Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Lab, Data Science Institute, University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071052291"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.2945,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53813069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"76","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9560999870300293,"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":0.9560999870300293,"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/T12734","display_name":"Information Systems and Technology Applications","score":0.9279000163078308,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9168000221252441,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713391184806824},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6334458589553833},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6138036847114563},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4973945915699005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48418644070625305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713391184806824},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6334458589553833},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6138036847114563},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4973945915699005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48418644070625305},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10611981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2015807399","https://openalex.org/W2020323825","https://openalex.org/W2049774453","https://openalex.org/W2061885948","https://openalex.org/W2088765131","https://openalex.org/W2159301256","https://openalex.org/W2181554967","https://openalex.org/W2209897355","https://openalex.org/W2317657874","https://openalex.org/W2633902872","https://openalex.org/W2783727813","https://openalex.org/W2950723285","https://openalex.org/W3035507247","https://openalex.org/W3174613761","https://openalex.org/W4226070056","https://openalex.org/W4288349237","https://openalex.org/W4386113939","https://openalex.org/W6841249186","https://openalex.org/W6856270832"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Building":[0],"Social":[1,61],"Network":[2,62],"Simulators":[3,63],"(SNSs)":[4],"that":[5,128],"can":[6],"accurately":[7],"represent":[8],"reality":[9],"forms":[10],"an":[11,121],"important":[12],"research":[13],"area.":[14],"To":[15],"be":[16],"able":[17],"to":[18,26,50,101],"reflect":[19],"real":[20,111],"world":[21],"systems":[22],"the":[23,30,35,42,45,52,83,86,90,129,139,149,153],"modelling":[24],"needs":[25],"consider":[27],"not":[28],"only":[29],"intensity":[31],"of":[32,40,44,55,89,132],"interactions":[33],"between":[34],"entities":[36],"but":[37],"also":[38],"features":[39,57,73,92,151,160,163],"all":[41],"elements":[43],"system.":[46],"This":[47,70],"study":[48],"aims":[49],"improve":[51],"expressive":[53,140],"power":[54,141],"node":[56,112],"in":[58,107],"Digital":[59],"Twin-Oriented":[60],"(DT-SNSs)":[64],"with":[65,74,135,158],"heterogeneous":[66,150],"feature":[67,76,94,113,123,133],"representation":[68,118,134],"principles.":[69],"involves":[71],"representing":[72],"crisp":[75],"values":[77],"and":[78,85,93,120,142,161],"fuzzy":[79,136],"sets,":[80],"each":[81],"describing":[82],"objective":[84],"subjective":[87],"inductions":[88],"nodes'":[91],"differences.":[95],"Our":[96],"empirical":[97],"analysis":[98],"builds":[99],"DT-SNSs":[100],"recreate":[102],"realistic":[103],"physical":[104],"contact":[105],"networks":[106],"different":[108],"countries":[109],"from":[110],"distributions":[114],"based":[115],"on":[116],"various":[117],"principles":[119],"optimised":[122],"preference.":[124],"The":[125],"results":[126],"suggest":[127],"increasing":[130],"flexibility":[131],"sets":[137],"improves":[138],"enables":[143],"more":[144],"accurate":[145],"modelling.":[146],"In":[147],"addition,":[148],"influence":[152],"network":[154],"structure,":[155],"where":[156],"nodes":[157],"preferred":[159],"similar":[162],"cluster.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}