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A Methodology for Social Networks Analysis and Mining

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

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Abstract

Social networks analysis is an emerging trend among scholars and researchers in the last years. A great number of companies are interested in social networks data mining. Data gathered from Facebook, Twitter or other social networks result to be very attractive in many application fields, like economics analysis, sentiment analysis, and politics analysis and so on. In our work, we focused on the analysis of the content of textual information obtained from the social media. Our investigation is finalized to extract hot topics in social network. We considered, as case study, reviews obtained from the social network Yelp.

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Author information

Authors and Affiliations

  1. DIETI, University of Naples “Federico II”, via Claudio 21, 80125, Naples, Italy

    Flora Amato, Giovanni Cozzolino, Vincenzo Moscato, Antonio Picariello & Giancarlo Sperlì

  2. CINI, ITEM National Lab, Via Cinthia, 80126, Naples, Italy

    Flora Amato, Giovanni Cozzolino, Vincenzo Moscato, Antonio Picariello & Giancarlo Sperlì

Authors
  1. Flora Amato
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  2. Giovanni Cozzolino
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  3. Vincenzo Moscato
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  4. Antonio Picariello
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  5. Giancarlo Sperlì
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Corresponding author

Correspondence to Giovanni Cozzolino .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Amato, F., Cozzolino, G., Moscato, V., Picariello, A., Sperlì, G. (2018). A Methodology for Social Networks Analysis and Mining. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_64

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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