{"id":"https://openalex.org/W2945293951","doi":"https://doi.org/10.3233/jifs-179020","title":"Predicting emotional intensity in social networks","display_name":"Predicting emotional intensity in social networks","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945293951","doi":"https://doi.org/10.3233/jifs-179020","mag":"2945293951"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179020","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179020","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent &amp; Fuzzy 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/A5100770157","display_name":"Fernando Mart\u00edn Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-5323-7744"},"institutions":[{"id":"https://openalex.org/I169046204","display_name":"Universidad Aut\u00f3noma de Nuevo Le\u00f3n","ror":"https://ror.org/01fh86n78","country_code":"MX","type":"education","lineage":["https://openalex.org/I169046204"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Fernando M. Rodr\u00edguez","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico","institution_ids":["https://openalex.org/I169046204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041864894","display_name":"Sara E. Garza","orcid":"https://orcid.org/0000-0003-2260-0552"},"institutions":[{"id":"https://openalex.org/I169046204","display_name":"Universidad Aut\u00f3noma de Nuevo Le\u00f3n","ror":"https://ror.org/01fh86n78","country_code":"MX","type":"education","lineage":["https://openalex.org/I169046204"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Sara E. Garza","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico","institution_ids":["https://openalex.org/I169046204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041864894"],"corresponding_institution_ids":["https://openalex.org/I169046204"],"apc_list":null,"apc_paid":null,"fwci":0.7059,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7742493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"5","first_page":"4709","last_page":"4719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514257431030273},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7308982610702515},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.6940779089927673},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4966138005256653},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49106597900390625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4355125427246094},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4151794910430908},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3607296347618103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.350911945104599},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2639310956001282},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.17145156860351562},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.13885745406150818},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10558763146400452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514257431030273},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7308982610702515},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.6940779089927673},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4966138005256653},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49106597900390625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4355125427246094},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4151794910430908},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3607296347618103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.350911945104599},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2639310956001282},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.17145156860351562},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.13885745406150818},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10558763146400452},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179020","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179020","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W980795213","https://openalex.org/W1826790618","https://openalex.org/W1963486426","https://openalex.org/W1970381522","https://openalex.org/W1986865668","https://openalex.org/W1994720412","https://openalex.org/W2017510074","https://openalex.org/W2019759670","https://openalex.org/W2024218186","https://openalex.org/W2024774719","https://openalex.org/W2028914474","https://openalex.org/W2029472717","https://openalex.org/W2042263411","https://openalex.org/W2044502663","https://openalex.org/W2050730017","https://openalex.org/W2057409323","https://openalex.org/W2067147147","https://openalex.org/W2099366530","https://openalex.org/W2102937962","https://openalex.org/W2116257150","https://openalex.org/W2124330039","https://openalex.org/W2133990480","https://openalex.org/W2137363687","https://openalex.org/W2145196707","https://openalex.org/W2146123638","https://openalex.org/W2155465530","https://openalex.org/W2160387459","https://openalex.org/W2206905375","https://openalex.org/W2226853805","https://openalex.org/W2272153972","https://openalex.org/W2288128171","https://openalex.org/W2317943193","https://openalex.org/W2437508080","https://openalex.org/W2465750280","https://openalex.org/W2504756137","https://openalex.org/W2559764542","https://openalex.org/W2584319333","https://openalex.org/W2994831951","https://openalex.org/W3123879943","https://openalex.org/W3125189097","https://openalex.org/W6771432604"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2326619756","https://openalex.org/W2024691726","https://openalex.org/W4224009465","https://openalex.org/W3192794374","https://openalex.org/W4362613237","https://openalex.org/W4379932966","https://openalex.org/W4214863292"],"abstract_inverted_index":{"Emotions,":[0],"which":[1,73],"are":[2,74,123],"now":[3],"commonly":[4],"portrayed":[5],"in":[6,13,29,62,93],"social":[7,30,156],"media,":[8],"play":[9],"a":[10,23,37,48,63,77,84,136],"fundamental":[11],"role":[12],"decision":[14],"making.":[15],"Having":[16],"this":[17,20,51],"into":[18],"account,":[19],"work":[21],"proposes":[22],"model":[24,33,82,128],"to":[25,150],"predict":[26],"(forecast)":[27],"emotions":[28,89],"networks.":[31],"This":[32],"specifically":[34],"predicts,":[35],"for":[36],"user,":[38],"the":[39,60,68,80,126,152,161],"proportion":[40,52],"of":[41,59,70,87,103,155,163],"comments":[42],"that":[43],"will":[44],"be":[45],"published":[46],"with":[47],"particular":[49,64],"emotion;":[50],"is":[53,113],"defined":[54],"as":[55],"an":[56,94],"emotional":[57,153],"intensity":[58],"user":[61],"time":[65],"period.":[66],"On":[67],"contrary":[69],"other":[71],"models,":[72,120],"focused":[75],"on":[76],"single":[78],"emotion,":[79],"proposed":[81,127],"considers":[83],"basic":[85],"scheme":[86],"four":[88],"and":[90,109,148],"employs":[91],"these":[92],"interdependent":[95],"manner.":[96],"The":[97],"model,":[98],"moreover,":[99],"utilizes":[100],"three":[101],"types":[102],"features:":[104],"(1)":[105],"user-related,":[106],"(2)":[107],"contact-related,":[108],"(3)":[110],"environment-related.":[111],"Prediction":[112],"performed":[114],"using":[115],"linear":[116],"regression.":[117],"Nearly":[118],"20":[119],"including":[121],"ARIMA,":[122],"outperformed":[124],"by":[125],"(with":[129],"statistically":[130],"significant":[131],"results)":[132],"when":[133],"evaluated":[134],"over":[135],"dataset":[137],"extracted":[138],"from":[139],"Twitter.":[140],"Some":[141],"potential":[142],"applications":[143],"include":[144],"massive":[145],"opinion":[146],"monitoring":[147],"recommendations":[149],"improve":[151],"wellness":[154],"media":[157],"users":[158],"(for":[159],"example,":[160],"recommendation":[162],"joyful":[164],"memories).":[165]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
