{"id":"https://openalex.org/W4405473331","doi":"https://doi.org/10.1142/s0218126625501543","title":"Deep Learning-Based Framework for Social Media User Behavior Analysis and Prediction","display_name":"Deep Learning-Based Framework for Social Media User Behavior Analysis and Prediction","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4405473331","doi":"https://doi.org/10.1142/s0218126625501543"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625501543","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625501543","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":null,"display_name":"Jing Dang","orcid":"https://orcid.org/0009-0005-5895-6886"},"institutions":[{"id":"https://openalex.org/I3131721959","display_name":"Bangkokthonburi University","ror":"https://ror.org/01nrcma38","country_code":"TH","type":"education","lineage":["https://openalex.org/I3131721959"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jing Dang","raw_affiliation_strings":["Faculty of Communication Arts, Communication Arts, Bangkokthonburi University, Thawi Watthana, 10170 Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0005-5895-6886","affiliations":[{"raw_affiliation_string":"Faculty of Communication Arts, Communication Arts, Bangkokthonburi University, Thawi Watthana, 10170 Bangkok, Thailand","institution_ids":["https://openalex.org/I3131721959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115506612","display_name":"Mo Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mo Bi","raw_affiliation_strings":["Southeast University, Regional and Country Studies Institute, Nanjing 211189, China","Southeast University, School of Foreign Languages, Nanjing 211189, China"],"raw_orcid":"https://orcid.org/0000-0002-7921-1737","affiliations":[{"raw_affiliation_string":"Southeast University, Regional and Country Studies Institute, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, School of Foreign Languages, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingze Yang","orcid":"https://orcid.org/0009-0008-8814-1292"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingze Yang","raw_affiliation_strings":["School of Intelligent Finance and Business, Xi\u2019an Jiaotong-Liverpool University, Suzhou 215000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0008-8814-1292","affiliations":[{"raw_affiliation_string":"School of Intelligent Finance and Business, Xi\u2019an Jiaotong-Liverpool University, Suzhou 215000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yichen Sun","orcid":"https://orcid.org/0009-0009-1241-6293"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Sun","raw_affiliation_strings":["Department of Architecture and Built Environment, University of Nottingham, Ningbo 315154, P.\u00a0R.\u00a0China","High School Affiliated to The University of Nottingham Ningbo China, Ningbo 315000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0009-1241-6293","affiliations":[{"raw_affiliation_string":"Department of Architecture and Built Environment, University of Nottingham, Ningbo 315154, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I13591777"]},{"raw_affiliation_string":"High School Affiliated to The University of Nottingham Ningbo China, Ningbo 315000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2503,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56454677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":"14","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8726999759674072,"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":0.8726999759674072,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8536999821662903,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8461999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5975773930549622},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5096266269683838},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4493541717529297},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4270583391189575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41331779956817627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3249531686306},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1868215799331665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975773930549622},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5096266269683838},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4493541717529297},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4270583391189575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41331779956817627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3249531686306},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1868215799331665}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625501543","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625501543","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G946385039","display_name":null,"funder_award_id":"202306190098","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2612758347","https://openalex.org/W3013437827","https://openalex.org/W3111270685","https://openalex.org/W3114734083","https://openalex.org/W3119467012","https://openalex.org/W3122183613","https://openalex.org/W3122396520","https://openalex.org/W3165022283","https://openalex.org/W4285267073","https://openalex.org/W4376877198","https://openalex.org/W4380714981","https://openalex.org/W4383751808","https://openalex.org/W4384887346","https://openalex.org/W4386422441","https://openalex.org/W4387010854","https://openalex.org/W4390612404","https://openalex.org/W4394773629","https://openalex.org/W4396766388","https://openalex.org/W4396796620","https://openalex.org/W4399666271","https://openalex.org/W4399875753"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3046775127"],"abstract_inverted_index":{"The":[0,56,72,116],"interconnection":[1],"of":[2,4],"billions":[3],"users":[5],"through":[6],"social":[7,49,150,176],"media":[8,50,151,177],"platforms":[9,28],"has":[10],"made":[11],"them":[12],"indispensable":[13],"in":[14,68,70],"contemporary":[15],"communication.":[16],"It":[17],"is":[18],"essential":[19,163],"to":[20,29,43,83,109,126,146,172,185,211,214],"analyze":[21,147],"and":[22,36,54,79,113,148,166,199],"forecast":[23],"user":[24,31,51,152,178],"behavior":[25,52],"on":[26,64],"these":[27],"improve":[30,110,215],"experience,":[32],"implement":[33],"targeted":[34],"advertising,":[35],"reduce":[37,114],"unpleasant":[38],"interactions.":[39],"This":[40,180],"study":[41],"aimed":[42],"create":[44],"deep":[45,159,208],"learning-based":[46],"algorithms":[47,161],"for":[48,105,162],"analysis":[53],"prediction.":[55],"first":[57],"data":[58,73,93,155,213],"corpus":[59],"we":[60],"analyzed":[61],"comprises":[62],"tweets":[63],"the":[65,85,95,106,132,157,169,189,200],"general":[66],"elections":[67],"India":[69],"2019.":[71],"prepossessing":[74],"process":[75],"used":[76,125],"Z-score":[77],"normalization":[78],"missing":[80],"value-relevant":[81],"features":[82],"normalize":[84],"data\u2019s":[86],"scale.":[87],"Features":[88],"were":[89],"extracted":[90],"from":[91],"high-dimensional":[92],"using":[94],"linear":[96],"regression":[97],"(LR)":[98],"model,":[99],"which":[100],"preserves":[101],"important":[102],"information":[103],"representations":[104],"prediction":[107,170,194,212],"model":[108],"computing":[111],"efficiency":[112],"overfitting.":[115],"term":[117],"frequency-inverse":[118],"document":[119],"frequency":[120],"(TF-IDF)":[121],"numerical":[122],"statistic":[123],"was":[124],"compute":[127],"this.":[128],"We":[129],"suggested":[130,190],"optimizing":[131],"socially":[133],"restricted":[134],"Boltzmann":[135],"machine":[136],"dove":[137],"particle":[138],"swarm":[139],"with":[140,175],"bi-directional":[141],"long":[142],"short-term":[143],"memory":[144],"(SRBM-DPSO-bi-LSTM)":[145],"predict":[149],"behavior.":[153,179],"Training":[154],"optimize":[156],"specified":[158],"learning":[160,209],"performance":[164],"measures":[165],"frequently":[167],"enhance":[168],"system":[171],"keep":[173],"up":[174],"will":[181],"make":[182],"it":[183],"possible":[184],"evaluate":[186],"how":[187],"well":[188],"solution":[191],"works":[192],"regarding":[193],"rate,":[195],"accuracy,":[196],"recall,":[197],"F1-score,":[198],"AUC-ROC":[201],"curve.":[202],"As":[203],"a":[204],"result,":[205],"this":[206],"proposed":[207],"approach":[210],"Social":[216],"Media":[217],"User":[218],"Behavior.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}