000131336 001__ 131336
000131336 005__ 20241125101139.0
000131336 0247_ $$2doi$$a10.1016/j.heliyon.2023.e23958
000131336 0248_ $$2sideral$$a136746
000131336 037__ $$aART-2023-136746
000131336 041__ $$aeng
000131336 100__ $$0(orcid)0000-0001-6148-0667$$aNavarro, Jorge$$uUniversidad de Zaragoza
000131336 245__ $$aSocial mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders
000131336 260__ $$c2023
000131336 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131336 5203_ $$aIn accordance with the cognitive orientation contemplated in the resolution of complex problems posed in public decision-making using decision support systems and social networks, this work studies the possibility of identifying the state of mind of society through the state of mind of network leaders. Using sentiment and emotion analysis as research techniques and Twitter as a representative social network, the study corpus considers tweets and retweets in Spanish about COVID-19 in the period from February 27, 2020 to December 31, 2021. As cognitive orientation claims, the proposed techniques will allow us to extract the arguments that support the different positions and decisions from the analysis of the tweets issued exclusively by social leaders. In the case study considered, the COVID-19 vaccination process in Spain, the reduction in the number of tweets′ authors (more than 8,000) to the network leaders (just 8) was greater than 99 %; and the subsequent reduction in the number of associated tweets was greater than 88 % from the 18,193 tweets in society to the 2,145 tweets of the eight social leaders. The impressive degree of information compression achieved may be useful to establish new directions of social mood analysis applied to healthcare and business management.
000131336 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-23R$$9info:eu-repo/grantAgreement/ES/DGA/LMP 35-21$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-139863OB-I00
000131336 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000131336 590__ $$a3.4$$b2023
000131336 592__ $$a0.617$$b2023
000131336 591__ $$aMULTIDISCIPLINARY SCIENCES$$b28 / 134 = 0.209$$c2023$$dQ1$$eT1
000131336 593__ $$aMultidisciplinary$$c2023$$dQ1
000131336 594__ $$a4.5$$b2023
000131336 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131336 700__ $$0(orcid)0000-0003-3138-7597$$aAguarón, Juan$$uUniversidad de Zaragoza
000131336 700__ $$0(orcid)0000-0002-5037-6976$$aMoreno-Jiménez, José María$$uUniversidad de Zaragoza
000131336 700__ $$0(orcid)0000-0002-8807-8958$$aTurón, Alberto$$uUniversidad de Zaragoza
000131336 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000131336 773__ $$g10, 1 (2023), e23958 [14 pp.]$$pHeliyon$$tHeliyon$$x2405-8440
000131336 8564_ $$s6191154$$uhttps://zaguan.unizar.es/record/131336/files/texto_completo.pdf$$yVersión publicada
000131336 8564_ $$s1937574$$uhttps://zaguan.unizar.es/record/131336/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131336 909CO $$ooai:zaguan.unizar.es:131336$$particulos$$pdriver
000131336 951__ $$a2024-11-22-12:02:08
000131336 980__ $$aARTICLE