{"id":"https://openalex.org/W4403123583","doi":"https://doi.org/10.1109/tcss.2024.3457897","title":"Modeling Temporal Interaction for Dynamic Sentiment Analysis on Social Network","display_name":"Modeling Temporal Interaction for Dynamic Sentiment Analysis on Social Network","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403123583","doi":"https://doi.org/10.1109/tcss.2024.3457897"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3457897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3457897","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","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/A5085936626","display_name":"Anping Zhao","orcid":"https://orcid.org/0000-0002-4843-8680"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anping Zhao","raw_affiliation_strings":["Zhejiang Key Laboratory of Intelligent Informatics for Safety & Emergency, Wenzhou University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-4843-8680","affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Intelligent Informatics for Safety & Emergency, Wenzhou University, Zhejiang, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089569621","display_name":"Saiqi Tian","orcid":"https://orcid.org/0000-0002-3362-8836"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saiqi Tian","raw_affiliation_strings":["College of Education, Wenzhou University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3362-8836","affiliations":[{"raw_affiliation_string":"College of Education, Wenzhou University, Zhejiang, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Yu","orcid":"https://orcid.org/0009-0005-0168-1623"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yu","raw_affiliation_strings":["College of Education, Wenzhou University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0005-0168-1623","affiliations":[{"raw_affiliation_string":"College of Education, Wenzhou University, Zhejiang, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085936626"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":0.2696,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55001586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"3","first_page":"1233","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.974399983882904,"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":0.974399983882904,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9577000141143799,"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":0.9271000027656555,"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":0.5828203558921814},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5110865235328674},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4135775566101074},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.41011059284210205},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3205433487892151},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3189438581466675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30961233377456665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17907461524009705},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17757189273834229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828203558921814},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5110865235328674},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4135775566101074},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.41011059284210205},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3205433487892151},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3189438581466675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30961233377456665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17907461524009705},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17757189273834229},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3457897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3457897","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3561430149","display_name":null,"funder_award_id":"62277040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2765369538","https://openalex.org/W2772021946","https://openalex.org/W2780698117","https://openalex.org/W2798918712","https://openalex.org/W2808908091","https://openalex.org/W2927690792","https://openalex.org/W2969194307","https://openalex.org/W2969964888","https://openalex.org/W2998292064","https://openalex.org/W3007900690","https://openalex.org/W3012500520","https://openalex.org/W3019577029","https://openalex.org/W3022316493","https://openalex.org/W3033706928","https://openalex.org/W3034505530","https://openalex.org/W3094173182","https://openalex.org/W3094384122","https://openalex.org/W3120272087","https://openalex.org/W3124491941","https://openalex.org/W3144247401","https://openalex.org/W3148529036","https://openalex.org/W3170457273","https://openalex.org/W3177021555","https://openalex.org/W3197666225","https://openalex.org/W3200836518","https://openalex.org/W3206700194","https://openalex.org/W3209485964","https://openalex.org/W4200336477","https://openalex.org/W4205655352","https://openalex.org/W4385567901","https://openalex.org/W6697195335"],"related_works":["https://openalex.org/W4320063274","https://openalex.org/W2904868555","https://openalex.org/W2020198693","https://openalex.org/W1926303568","https://openalex.org/W3155846532","https://openalex.org/W4386880480","https://openalex.org/W3151710375","https://openalex.org/W2361372973","https://openalex.org/W3124740722","https://openalex.org/W4389359147"],"abstract_inverted_index":{"With":[0],"the":[1,4,13,18,34,61,66,71,90,96,117,145,152,158,174,177],"evolution":[2],"of":[3,83,160,176],"network":[5,35,52,74,92,111,136,166,184],"over":[6],"time,":[7],"dynamic":[8,26,56,81,139,168,183],"sentiment":[9,57,132,169,188],"is":[10,30,77],"ubiquitous":[11],"in":[12,65,137,164],"real":[14],"social":[15,20,51,68,73,110,135,165],"network.":[16,69],"Learning":[17],"temporal":[19,50,62,72,108,123,162],"interactions":[21],"representation":[22,53,120],"and":[23,37,42,85,101],"modeling":[24],"a":[25,49,138],"socio-sentiment":[27],"analysis":[28,58,133,189],"model":[29,54],"important":[31],"to":[32,79,129,186],"understand":[33],"data":[36],"necessary":[38],"for":[39,55,167,180],"accurately":[40],"analyzing":[41],"prediction.":[43],"In":[44],"this":[45],"work,":[46],"we":[47],"design":[48],"by":[59,93,115],"capturing":[60],"interaction":[63,87],"information":[64,100],"evolutionary":[67,91],"Specifically,":[70],"embedding":[75],"method":[76],"employed":[78],"learn":[80],"representations":[82,185],"node":[84],"node's":[86],"relationships":[88],"from":[89],"preserving":[94],"both":[95],"explicit":[97],"structural":[98],"proximity":[99],"implicit":[102],"multiview":[103],"association":[104],"information.":[105],"The":[106,141,155],"joint":[107],"heterogeneous":[109],"embeddings":[112],"are":[113],"learned":[114],"fusing":[116],"different":[118],"dimensional":[119],"at":[121],"their":[122],"granularity,":[124],"which":[125],"can":[126],"be":[127],"used":[128],"naturally":[130],"support":[131],"on":[134],"way.":[140],"results":[142,156],"demonstrate":[143],"that":[144],"raised":[146],"approach":[147,179],"reports":[148],"better":[149],"performance":[150],"than":[151],"baseline":[153],"methods.":[154],"indicate":[157],"importance":[159],"incorporating":[161],"dependencies":[163],"analysis.":[170],"It":[171],"also":[172],"indicates":[173],"effectiveness":[175],"proposed":[178],"learning":[181],"meaningful":[182],"improve":[187],"performance.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}