{"id":"https://openalex.org/W4385249654","doi":"https://doi.org/10.1109/med59994.2023.10185814","title":"Predicting Opinions in Social Networks Using Recurrent Neural Networks","display_name":"Predicting Opinions in Social Networks Using Recurrent Neural Networks","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385249654","doi":"https://doi.org/10.1109/med59994.2023.10185814"},"language":"en","primary_location":{"id":"doi:10.1109/med59994.2023.10185814","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med59994.2023.10185814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Mediterranean Conference on Control and Automation (MED)","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/A5065340837","display_name":"Mohamed N. Zareer","orcid":"https://orcid.org/0009-0007-3104-6561"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed N. Zareer","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064990097","display_name":"Rastko R. \u0160elmi\u0107","orcid":"https://orcid.org/0000-0001-9345-8077"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rastko R. Selmic","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065340837"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08861265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"753","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7650313377380371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606527209281921},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6642091870307922},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.576103925704956},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.5760212540626526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5750846862792969},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5658233761787415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5124323964118958},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4897596836090088},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4797195792198181},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4227822721004486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4207048714160919},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3610789179801941},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17645680904388428}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7650313377380371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606527209281921},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6642091870307922},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.576103925704956},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.5760212540626526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5750846862792969},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5658233761787415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5124323964118958},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4897596836090088},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4797195792198181},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4227822721004486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4207048714160919},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3610789179801941},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17645680904388428},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med59994.2023.10185814","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med59994.2023.10185814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Mediterranean Conference on Control and Automation (MED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","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/W11035935","https://openalex.org/W1538193578","https://openalex.org/W1998692453","https://openalex.org/W2019089262","https://openalex.org/W2027514326","https://openalex.org/W2035654630","https://openalex.org/W2070907364","https://openalex.org/W2114747139","https://openalex.org/W2118015073","https://openalex.org/W2159397589","https://openalex.org/W2160643434","https://openalex.org/W2507576190","https://openalex.org/W2534090929","https://openalex.org/W2934062797","https://openalex.org/W2963001718","https://openalex.org/W3188846905","https://openalex.org/W4224435139","https://openalex.org/W6600453365","https://openalex.org/W6632340269","https://openalex.org/W6752864545"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W4285326772","https://openalex.org/W4376118624","https://openalex.org/W4389279194","https://openalex.org/W3170224572","https://openalex.org/W3080832216"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,12,75,103,110,114,123,135,139,157],"spread":[4],"of":[5,14,70,77,130,141],"opinions":[6,76,105],"in":[7,31,62,79,89,134],"social":[8,32,45,82,144],"media":[9,33],"networks":[10,55],"through":[11],"lens":[13],"opinion":[15,27,153],"dynamics.":[16],"As":[17],"more":[18,119],"human":[19],"interactions":[20,61],"and":[21,29,44,59,152],"public":[22],"discourse":[23],"move":[24],"online,":[25],"understanding":[26],"formation":[28],"evolution":[30],"is":[34],"crucial":[35],"for":[36,146],"issues":[37],"such":[38],"as":[39],"virtual":[40],"marketing,":[41],"information":[42],"dissemination,":[43],"security.":[46],"We":[47],"introduce":[48],"a":[49,97,128,147],"novel":[50],"approach":[51],"using":[52,156],"recurrent":[53],"neural":[54],"(RNN)":[56],"to":[57,73,101,117],"monitor":[58],"predict":[60,74,102,118],"these":[63],"networks.":[64],"Our":[65],"method":[66],"uses":[67,96,113],"two":[68],"configurations":[69],"RNN":[71,158],"algorithms":[72],"agents":[78,132],"an":[80],"online":[81],"network,":[83],"with":[84],"results":[85],"showing":[86],"its":[87],"effectiveness":[88],"predicting":[90],"diverse":[91],"opinions.":[92,121],"The":[93,143],"first":[94],"configuration":[95,112],"sigmoid":[98],"activation":[99],"function":[100,116],"binary":[104],"output":[106],"(agree,":[107],"disagree),":[108],"while":[109],"second":[111],"softmax":[115],"detailed":[120],"For":[122],"simulation":[124],"results,":[125],"we":[126],"considered":[127],"group":[129],"five":[131],"interacting":[133],"Twitter":[136],"network":[137],"on":[138],"subject":[140],"COVID-19.":[142],"interaction":[145],"30-day":[148],"period":[149],"was":[150,159],"captured":[151],"dynamics":[154],"prediction":[155],"verified.":[160]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
