{"id":"https://openalex.org/W4404060040","doi":"https://doi.org/10.1108/k-04-2024-0914","title":"MAMSC: a semantic enhanced representation model for public opinion key node recognition based on multianchor mapping in semantic communities","display_name":"MAMSC: a semantic enhanced representation model for public opinion key node recognition based on multianchor mapping in semantic communities","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404060040","doi":"https://doi.org/10.1108/k-04-2024-0914"},"language":"en","primary_location":{"id":"doi:10.1108/k-04-2024-0914","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-04-2024-0914","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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/A5066152900","display_name":"Yongcong Luo","orcid":"https://orcid.org/0000-0002-2148-4337"},"institutions":[{"id":"https://openalex.org/I4210096345","display_name":"City University","ror":"https://ror.org/00r1j9q42","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210096345"]},{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Yongcong Luo","raw_affiliation_strings":["Business School, Hangzhou City University , ,","Business School, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2148-4337","affiliations":[{"raw_affiliation_string":"Business School, Hangzhou City University , ,","institution_ids":["https://openalex.org/I4210096345"]},{"raw_affiliation_string":"Business School, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004145814","display_name":"He Zhu","orcid":"https://orcid.org/0000-0001-9606-150X"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhu","raw_affiliation_strings":["Center for Library and Archives, Henan Normal University , ,","Center for Library and Archives, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Library and Archives, Henan Normal University , ,","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Center for Library and Archives, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30851129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":"2","first_page":"718","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9939000010490417,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9925000071525574,"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":0.721467137336731},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7112272381782532},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5644987225532532},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5621483325958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47750920057296753},{"id":"https://openalex.org/keywords/semantic-network","display_name":"Semantic network","score":0.46550872921943665},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4342682361602783},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43342939019203186},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.41693738102912903},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.41370129585266113},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.21850743889808655},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08987894654273987},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.05716559290885925},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05492287874221802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721467137336731},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7112272381782532},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5644987225532532},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5621483325958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47750920057296753},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.46550872921943665},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4342682361602783},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43342939019203186},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.41693738102912903},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.41370129585266113},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.21850743889808655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08987894654273987},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.05716559290885925},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05492287874221802},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/k-04-2024-0914","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-04-2024-0914","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1761709430","https://openalex.org/W2037715515","https://openalex.org/W2046640024","https://openalex.org/W2130858665","https://openalex.org/W2233330381","https://openalex.org/W2281420995","https://openalex.org/W2336020590","https://openalex.org/W2366141641","https://openalex.org/W2398119937","https://openalex.org/W2413329758","https://openalex.org/W2515728551","https://openalex.org/W2610676001","https://openalex.org/W2743138268","https://openalex.org/W2765951304","https://openalex.org/W2887800594","https://openalex.org/W2917662606","https://openalex.org/W2917831255","https://openalex.org/W2923280274","https://openalex.org/W2938687831","https://openalex.org/W2951153965","https://openalex.org/W2960947559","https://openalex.org/W2968227736","https://openalex.org/W3000409346","https://openalex.org/W3021378985","https://openalex.org/W3048659618","https://openalex.org/W3108501093","https://openalex.org/W3125491592","https://openalex.org/W3165651565","https://openalex.org/W3195102072","https://openalex.org/W4283746543","https://openalex.org/W4292057385","https://openalex.org/W4307112907","https://openalex.org/W4309796907","https://openalex.org/W4322746108","https://openalex.org/W4323666915","https://openalex.org/W4367399947","https://openalex.org/W4379805280","https://openalex.org/W4380714981","https://openalex.org/W4381435031","https://openalex.org/W4386246256","https://openalex.org/W4387266502","https://openalex.org/W4387377174","https://openalex.org/W4387824552","https://openalex.org/W4388574382","https://openalex.org/W4389883207","https://openalex.org/W4391647948","https://openalex.org/W4392375356","https://openalex.org/W4393150251"],"related_works":["https://openalex.org/W1588041347","https://openalex.org/W2148001776","https://openalex.org/W2365852568","https://openalex.org/W4239259559","https://openalex.org/W3086729422","https://openalex.org/W844936955","https://openalex.org/W2157256185","https://openalex.org/W4297804129","https://openalex.org/W1589762743","https://openalex.org/W1446171314"],"abstract_inverted_index":{"Purpose":[0],"Information":[1],"is":[2],"presented":[3],"in":[4,32,91,130,153,232],"various":[5],"modalities":[6],"such":[7],"as":[8],"text":[9],"and":[10,12,16,22,39,55,57,114,142,159,172,190,198,221,238,257],"images,":[11],"it":[13],"can":[14,47],"quickly":[15],"widely":[17],"spread":[18,66,201],"on":[19,81],"social":[20],"networks":[21,132],"among":[23],"the":[24,49,65,125,135,154,173,176,200,209,233,249,254],"general":[25],"public":[26,33,44,52,60,92,149,196,228],"through":[27],"key":[28,41,89],"communication":[29],"nodes":[30,42,90],"involved":[31],"opinion":[34,53,61,150,197,229],"events.":[35],"Therefore,":[36],"by":[37],"tracking":[38],"identifying":[40,88],"of":[43,51,67,96,127,138,202,211,264],"opinion,":[45],"we":[46,123],"determine":[48],"direction":[50],"evolution":[54],"timely":[56],"effectively":[58],"control":[59],"events":[62],"or":[63],"curb":[64],"false":[68,203],"information.":[69,204],"Design/methodology/approach":[70],"This":[71,183],"paper":[72],"introduces":[73],"a":[74,144,223,262],"novel":[75],"multimodal":[76,100],"semantic":[77,84,110,115,140,219],"enhanced":[78,111],"representation":[79,112,220],"based":[80],"multianchor":[82,215],"mapping":[83,216],"community":[85,116,128],"(MAMSC)":[86],"for":[87,148,194,227],"opinion.":[93],"MAMSC":[94,177,246],"consists":[95],"four":[97],"core":[98],"components:":[99],"data":[101],"feature":[102,105],"extraction":[103],"module,":[104,109],"vector":[106],"dimensionality":[107],"reduction":[108],"module":[113,147,226],"(SC)":[117],"recognition":[118,152,181,231],"module.":[119],"On":[120,241],"this":[121,242],"basis,":[122,243],"combine":[124,208],"method":[126],"discovery":[129],"complex":[131],"to":[133,217,253],"analyze":[134],"aggregation":[136],"characteristics":[137],"different":[139],"anchors":[141],"construct":[143,222],"three-layer":[145,224],"network":[146,225],"node":[151,230],"SC":[155,234],"with":[156,169,214,235,261],"strong,":[157,236],"medium":[158,237],"weak":[160,239],"associations.":[161,240],"Findings":[162],"The":[163],"experimental":[164],"results":[165,251],"show":[166],"that":[167],"compared":[168,252],"its":[170],"variants":[171],"baseline":[174,255],"models,":[175,260],"model":[178,247],"has":[179],"better":[180],"accuracy.":[182],"study":[184],"also":[185],"provides":[186],"more":[187],"systematic,":[188],"forward-looking":[189],"scientific":[191],"decision-making":[192],"support":[193],"controlling":[195],"curbing":[199],"Originality/value":[205],"We":[206],"creatively":[207],"construction":[210],"variant":[212],"autoencoder":[213],"enhance":[218],"our":[244],"constructed":[245],"achieved":[248],"best":[250],"models":[256],"ablation":[258],"evaluation":[259],"precision":[263],"91.21%.":[265]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
