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Data Mining in Social Network

  • Flora AmatoEmail author
  • Giovanni Cozzolino
  • Francesco Moscato
  • Vincenzo Moscato
  • Antonio Picariello
  • Giancarlo Sperli
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)

Abstract

In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the content that is generated and used within the related environments. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among users and multimedia content. We also introduce some user and multimedia ranking functions to enable different applications. Finally, some experiments concerning effectiveness of the approach for supporting relevant information retrieval activities are reported and discussed.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Flora Amato
    • 1
    Email author
  • Giovanni Cozzolino
    • 1
  • Francesco Moscato
    • 2
  • Vincenzo Moscato
    • 1
  • Antonio Picariello
    • 1
  • Giancarlo Sperli
    • 1
  1. 1.Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione DIETIUniversity of Naples “Federico II”NaplesItaly
  2. 2.Dipartimento di Scienze Politiche. DiSciPolUniversity of Campania “Luigi Vanvitelli”CasertaItaly

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