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Viral Analysis on Virtual Communities: A Comparative of Tweet Measurement Systems

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Nature-Inspired Design of Hybrid Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 667))

Abstract

This study shows the results of a comparison of different measurement systems that help measure tweets virality within virtual communities. Likewise, the history of this type of virtual social networks in the context of marketing are essential to creating effective proposals for the study of computer systems, software developers and marketing professionals and advertising are presented. Ultimately, a proposal for a graphic tweets measurement system is presented.

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References

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Author information

Authors and Affiliations

  1. Juarez City University, Ciudad Juarez, Mexico

    Daniel Azpeitia & Alberto Ochoa-Zezzatti

  2. Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico

    Judith Cavazos

Authors
  1. Daniel Azpeitia
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  2. Alberto Ochoa-Zezzatti
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  3. Judith Cavazos
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Corresponding author

Correspondence to Alberto Ochoa-Zezzatti .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Azpeitia, D., Ochoa-Zezzatti, A., Cavazos, J. (2017). Viral Analysis on Virtual Communities: A Comparative of Tweet Measurement Systems. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_54

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  • DOI: https://doi.org/10.1007/978-3-319-47054-2_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47053-5

  • Online ISBN: 978-3-319-47054-2

  • eBook Packages: EngineeringEngineering (R0)

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