{"id":"https://openalex.org/W2794853128","doi":"https://doi.org/10.1109/taffc.2018.2821123","title":"Tracking Dynamics of Opinion Behaviors with a Content-Based Sequential Opinion Influence Model","display_name":"Tracking Dynamics of Opinion Behaviors with a Content-Based Sequential Opinion Influence Model","publication_year":2018,"publication_date":"2018-03-30","ids":{"openalex":"https://openalex.org/W2794853128","doi":"https://doi.org/10.1109/taffc.2018.2821123","mag":"2794853128"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2018.2821123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2821123","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","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/A5084315953","display_name":"Chengyao Chen","orcid":"https://orcid.org/0000-0003-4114-4492"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chengyao Chen","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4114-4492","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682838","display_name":"Zhitao Wang","orcid":"https://orcid.org/0000-0002-8552-3657"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhitao Wang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408983","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0002-7360-8864"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-7360-8864","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084315953"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.3829,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.80921053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"4","first_page":"627","last_page":"639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983999729156494,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7245974540710449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886377334594727},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.5413766503334045},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5089399814605713},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.4988105297088623},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.49601230025291443},{"id":"https://openalex.org/keywords/opinion-leadership","display_name":"Opinion leadership","score":0.4789467453956604},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4399127662181854},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.43749162554740906},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.43548133969306946},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.43047207593917847},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3770408034324646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35843202471733093},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23932349681854248},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23404711484909058},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1270582675933838},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.08447587490081787}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7245974540710449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886377334594727},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.5413766503334045},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5089399814605713},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.4988105297088623},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.49601230025291443},{"id":"https://openalex.org/C139268390","wikidata":"https://www.wikidata.org/wiki/Q1850904","display_name":"Opinion leadership","level":2,"score":0.4789467453956604},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4399127662181854},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.43749162554740906},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.43548133969306946},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.43047207593917847},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3770408034324646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35843202471733093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23932349681854248},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23404711484909058},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1270582675933838},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.08447587490081787},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2018.2821123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2821123","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1372504386","display_name":null,"funder_award_id":"61672445","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4477290564","display_name":null,"funder_award_id":"61272291","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4698464534","display_name":null,"funder_award_id":"B-Q46C","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G7568575840","display_name":null,"funder_award_id":"4-BCB5","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320309475","display_name":"Northwestern University","ror":"https://ror.org/000e0be47"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W61072750","https://openalex.org/W1423339008","https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1595257688","https://openalex.org/W1971842701","https://openalex.org/W1986434677","https://openalex.org/W1993378086","https://openalex.org/W1998692453","https://openalex.org/W2006915310","https://openalex.org/W2014902591","https://openalex.org/W2034235887","https://openalex.org/W2036883850","https://openalex.org/W2037824076","https://openalex.org/W2042123098","https://openalex.org/W2051510192","https://openalex.org/W2057340373","https://openalex.org/W2061820396","https://openalex.org/W2064675550","https://openalex.org/W2073926352","https://openalex.org/W2097264805","https://openalex.org/W2097726431","https://openalex.org/W2100573769","https://openalex.org/W2100693535","https://openalex.org/W2107878631","https://openalex.org/W2108858998","https://openalex.org/W2109603058","https://openalex.org/W2113096089","https://openalex.org/W2117130368","https://openalex.org/W2124589355","https://openalex.org/W2141403143","https://openalex.org/W2152511329","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2160660844","https://openalex.org/W2166293769","https://openalex.org/W2210387432","https://openalex.org/W2241340194","https://openalex.org/W2250879510","https://openalex.org/W2250966211","https://openalex.org/W2252024663","https://openalex.org/W2252256452","https://openalex.org/W2489406233","https://openalex.org/W2620328954","https://openalex.org/W2963597852","https://openalex.org/W2963843052","https://openalex.org/W2964121744","https://openalex.org/W2998704965","https://openalex.org/W3122816536","https://openalex.org/W4205184193","https://openalex.org/W4250134109","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W6602458215","https://openalex.org/W6628124331","https://openalex.org/W6629815555","https://openalex.org/W6631190155","https://openalex.org/W6675105528","https://openalex.org/W6676950571","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6691624895","https://openalex.org/W6713469395","https://openalex.org/W7061741590"],"related_works":["https://openalex.org/W1540611520","https://openalex.org/W2349442123","https://openalex.org/W4365519340","https://openalex.org/W2354038019","https://openalex.org/W2379868853","https://openalex.org/W2361991648","https://openalex.org/W2384273551","https://openalex.org/W2624712480","https://openalex.org/W4390535258","https://openalex.org/W2977829254"],"abstract_inverted_index":{"Nowadays,":[0],"social":[1],"media":[2],"has":[3],"become":[4],"a":[5,116,158],"popular":[6,150],"channel":[7],"for":[8,52],"people":[9],"to":[10,171],"exchange":[11],"opinions":[12,23,35,61],"through":[13],"the":[14,18,53,70,73,83,92,109,138,145],"user-generated":[15],"text.":[16],"Exploring":[17],"mechanisms":[19],"about":[20],"how":[21],"customers'":[22],"towards":[24],"products":[25],"are":[26,135],"influenced":[27],"by":[28],"friends,":[29],"and":[30,43,103],"further":[31,159],"predicting":[32],"their":[33],"future":[34],"have":[36,48],"attracted":[37],"great":[38],"attention":[39],"from":[40,108],"corporate":[41],"administrators":[42],"researchers.":[44],"Various":[45],"influence":[46,107,120,151,168],"models":[47,78,130,147],"already":[49],"been":[50],"proposed":[51,146],"opinion":[54,101,106,119,127],"prediction":[55,129,133],"problem.":[56],"However,":[57],"they":[58],"largely":[59],"formulate":[60],"as":[62],"derived":[63],"sentiment":[64,128],"categories":[65],"or":[66],"values":[67],"but":[68],"ignore":[69],"role":[71],"of":[72,82,99,161,174],"content":[74],"information.":[75],"Besides,":[76],"existing":[77],"only":[79],"make":[80],"use":[81],"most":[84],"recently":[85],"received":[86],"information":[87],"without":[88],"taking":[89],"into":[90],"consideration":[91],"long-term":[93],"historical":[94,110],"communication.":[95],"To":[96],"keep":[97],"track":[98],"user":[100,105,162],"behaviors":[102],"infer":[104],"exchanged":[111],"textual":[112],"information,":[113],"we":[114],"develop":[115],"content-based":[117],"sequential":[118],"framework.":[121],"Based":[122],"on":[123,141,157],"this":[124],"framework,":[125],"two":[126],"with":[131],"alternative":[132],"strategies":[134],"proposed.":[136],"In":[137],"experiments":[139],"conducted":[140],"three":[142],"Twitter":[143],"datasets,":[144],"outperform":[148],"other":[149],"models.":[152],"An":[153],"interesting":[154],"finding":[155],"based":[156],"analysis":[160],"characteristic":[163],"is":[164,169],"that":[165],"an":[166],"individuals":[167],"correlated":[170],"her/his":[172],"style":[173],"expressions.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}