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Analysis of the Interaction on the Web Through Social Networks (Twitter, Facebook, Instagram) Case Study: Economic Sectors with Higher Incomes in Ecuador

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Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) (ICITS 2018)

Abstract

This investigation presents the architecture of a tool of social networks management using Web semantic techniques; it is expected to serve as a guide for developing through free software a social networks manager. As part of the methodology, it is done an analysis of diverse tools of important path that have influence over the work of Social Media Management, to conclude in the model proposed in this investigation. At the same time, this document focuses on standing out how the three economic sectors of greater income in Ecuador (Telecommunications, Supermarkets and Financial) use the social networks to promote their organizations through the platforms of social media, allowing by this way a greater conversion ratio around the creation of new and/or potential customers. Therefore, it is demonstrated through a case study that communities of interest online are generated in favor of companies, brands or products. For the development of the case, metrics and intelligence analysis in Social Networks tools are used, getting as a result a complete detail of the influence of social networks in these sectors and the architectural model of an application that could be developed to increase the utilization of information technologies.

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Correspondence to Mariuxi Tejada-Castro .

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Tejada-Castro, M., Aguirre-Munizaga, M., Vergara-Lozano, V., Garzon-Goya, M., Solís-Avilés, E. (2018). Analysis of the Interaction on the Web Through Social Networks (Twitter, Facebook, Instagram) Case Study: Economic Sectors with Higher Incomes in Ecuador. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_63

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_63

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