Data analysis in social networks for agribusiness: a systematic review.

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dc.contributorNEDSON D. SOARES, Energisa; REGINA BRAGA, Universidade Federal de Juiz de Fora; JOSÉ MARIA N. DAVID, Universidade Federal de Juiz de Fora; KENNYA BEATRIZ SIQUEIRA, CNPGL; VICTOR STROELE, Universidade Federal de Juiz de Fora.
dc.creatorSOARES, N. D.
dc.creatorBRAGA, R.
dc.creatorDAVID, J. M. N.
dc.creatorSIQUEIRA, K. B.
dc.creatorSTROELE, V.
dc.date2023-03-24T13:50:38Z
dc.date2023-03-24T13:50:38Z
dc.date2023-03-24
dc.date2023
dc.date.accessioned2026-07-07T03:49:59Z
dc.descriptionThe ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions.
dc.identifierIEEE Access, v. 11, p. 8422-8432, 2023.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1152681
dc.identifierhttps://doi.org/10.1109/ACCESS.2023.3237984
dc.identifier.urihttp://hdl.handle.net/123456789/444404
dc.languageeng
dc.rightsopenAccess
dc.subjectMapeamento sistemático
dc.subjectRede social
dc.subjectAgronegócio
dc.subjectAnálise de Dados
dc.titleData analysis in social networks for agribusiness: a systematic review.
dc.typeArtigo de periódico

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Embrapa Vacas Lecheras (CNPGL)