{"id":"https://openalex.org/W4376273143","doi":"https://doi.org/10.3233/ida-226602","title":"Positive public opinion guidance model based on dual learning in social network","display_name":"Positive public opinion guidance model based on dual learning in social network","publication_year":2023,"publication_date":"2023-05-12","ids":{"openalex":"https://openalex.org/W4376273143","doi":"https://doi.org/10.3233/ida-226602"},"language":"en","primary_location":{"id":"doi:10.3233/ida-226602","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-226602","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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":"https://openalex.org/A5053432792","display_name":"Binyan Lyu","orcid":"https://orcid.org/0000-0002-9013-1930"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyan Lyu","raw_affiliation_strings":["School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087562798","display_name":"Yajun Du","orcid":"https://orcid.org/0000-0001-5999-6699"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Du","raw_affiliation_strings":["School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003998104","display_name":"Jiajian Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajian Jiang","raw_affiliation_strings":["School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computers and Software Engineering, XiHua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028521210","display_name":"Jinrong Hu","orcid":"https://orcid.org/0000-0001-7732-8141"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JinRong Hu","raw_affiliation_strings":["School of Computers, Chengdu University of Information Technology, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computers, Chengdu University of Information Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101964378","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2179-3380"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Library of XiHua University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Library of XiHua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087562798"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.1667,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41813099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":"3","first_page":"833","last_page":"853"},"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":0.9973999857902527,"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":0.953499972820282,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.8655073046684265},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6579772233963013},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5668808817863464},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5432021617889404},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5355467796325684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42873620986938477},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.38373038172721863},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3788098096847534},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.32827135920524597},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.2438066005706787},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1771852970123291},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13248634338378906}],"concepts":[{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.8655073046684265},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6579772233963013},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5668808817863464},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5432021617889404},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5355467796325684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42873620986938477},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.38373038172721863},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3788098096847534},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.32827135920524597},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.2438066005706787},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1771852970123291},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13248634338378906},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-226602","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-226602","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1850566410","https://openalex.org/W1978009662","https://openalex.org/W2027514326","https://openalex.org/W2083689991","https://openalex.org/W2113096089","https://openalex.org/W2124168655","https://openalex.org/W2148398920","https://openalex.org/W2170344111","https://openalex.org/W2183733330","https://openalex.org/W2324540553","https://openalex.org/W2471465337","https://openalex.org/W2593514577","https://openalex.org/W2739810937","https://openalex.org/W2765755511","https://openalex.org/W2769367994","https://openalex.org/W2792599991","https://openalex.org/W2798584339","https://openalex.org/W2889187706","https://openalex.org/W2905015162","https://openalex.org/W2987657937","https://openalex.org/W3000022628","https://openalex.org/W3007370976","https://openalex.org/W3028310093","https://openalex.org/W3108355422","https://openalex.org/W3145466734","https://openalex.org/W3176285615","https://openalex.org/W6601870611","https://openalex.org/W6605658417","https://openalex.org/W6676950571"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2383305597","https://openalex.org/W2390102482","https://openalex.org/W2370480975","https://openalex.org/W2364544082","https://openalex.org/W2368257048","https://openalex.org/W2375920486","https://openalex.org/W3148135778","https://openalex.org/W2376655806"],"abstract_inverted_index":{"Internet":[0,55,93],"public":[1,18,40,62,83,94,116,147,177,191],"opinion":[2,41,63,84,117,127,131,148,169,174,178,192,203,266],"is":[3,42,71,156,180,183],"closely":[4],"related":[5],"to":[6,53,57,69,98,110,171,258,284],"our":[7,134,211,276],"life":[8,47],"in":[9,76,238,260],"social":[10,27,112],"network.":[11],"The":[12,205],"wanton":[13],"growth":[14],"of":[15,35,166,210,214,232,246,264],"some":[16,38],"negative":[17,39,92,130,173],"opinions":[19],"has":[20],"an":[21],"extremely":[22],"serious":[23],"impact":[24],"on":[25,88,201,218,252],"the":[26,33,67,100,106,115,125,146,154,159,163,167,172,176,184,188,197,202,230,239,244,253,262],"stability":[28],"and":[29,45,59,65,129,151,226,250,271,281],"national":[30],"security.":[31],"After":[32],"guidance":[34,85,118,149,155,165,179],"government":[36],"manually,":[37],"well":[43],"controlled":[44],"people\u2019s":[46],"gain":[48],"more":[49],"positive":[50,82,126,168,190,265],"energy.":[51],"How":[52],"use":[54,105],"technology":[56],"automatically":[58],"promptly":[60],"guide":[61,196],"events":[64],"reduce":[66],"harm":[68],"society":[70],"currently":[72],"challenging":[73],"research.":[74],"Therefore,":[75],"this":[77],"paper,":[78],"we":[79,104,123,144,195],"propose":[80],"a":[81],"model":[86,150,213,231],"based":[87,200],"dual":[89,142,189],"learning":[90],"for":[91,187],"opinion,":[95],"hereinafter":[96],"denoted":[97],"as":[99],"dual-PPOG":[101,233],"model.":[102],"Firstly,":[103],"Fast":[107],"Unfolding":[108],"algorithm":[109],"divide":[111],"networks":[113],"into":[114],"communities.":[119],"In":[120],"these":[121],"communities,":[122],"detect":[124],"guider":[128,170],"receiver":[132],"by":[133,141,268],"defined":[135],"PageRank":[136],"(PR)":[137],"variant.":[138],"Secondly,":[139],"inspired":[140],"learning,":[143],"construct":[145],"evaluate":[152],"whether":[153],"successful":[157],"through":[158],"feedback":[160],"signal.":[161],"Through":[162],"repeated":[164],"receiver,":[175],"successful.":[181],"This":[182],"main":[185],"process":[186],"mechanism.":[193],"Finally,":[194],"remaining":[198],"nodes":[199],"dynamics.":[204],"experiment":[206],"demonstrates":[207],"beneficial":[208],"effects":[209],"proposed":[212],"dual-PPOG.":[215],"Experimental":[216],"results":[217],"three":[219,254],"real-world":[220],"datasets":[221,255],"intercepted":[222],"from":[223,256],"Twitter,":[224],"E-mail":[225],"Facebook":[227],"show":[228],"that":[229],"can":[234],"capture":[235],"useful":[236],"information":[237],"network":[240],"topology.":[241],"Compared":[242],"with":[243],"methods":[245],"HK,":[247],"AE,":[248],"Random":[249],"AIA":[251],"small":[257],"large":[259],"scale,":[261],"percentage":[263],"increased":[267],"4%,":[269],"6.9%,":[270],"2.7%":[272],"respectively,":[273],"which":[274],"shows":[275],"approach":[277],"achieve":[278],"significant":[279],"improvements":[280],"effectiveness":[282],"compared":[283],"all":[285],"baselines.":[286]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
