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Textual Processing in Social Network Analysis

  • Flora AmatoEmail author
  • Walter Balzano
  • Giovanni Cozzolino
  • Alessandro de Luca
  • Francesco Moscato
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)

Abstract

Social Networks are responsible of generating a huge amount of information, intrinsically heterogeneous and coming from different sources. In the social networks domain, the number of active users is impressive, active users process and publish information in different formats and data remain heterogeneous in their topics and in the published media (text, video, images, audio, etc.). In this work, we present a general framework for event detection in processing of heterogeneous data from social networks. The framework we propose, implements some techniques that users can exploit for malicious events detection on Twitter.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Flora Amato
    • 1
    Email author
  • Walter Balzano
    • 1
  • Giovanni Cozzolino
    • 1
  • Alessandro de Luca
    • 1
  • Francesco Moscato
    • 2
  1. 1.Department of Electrical Engineering and Information TechnologyUniversity of Naples “Federico II”NaplesItaly
  2. 2.Department of Scienze PoliticheUniversity of Campania “Luigi Vanvitelli”CasertaItaly

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