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Textual Processing in Social Network Analysis

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Book cover Web, Artificial Intelligence and Network Applications (WAINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 927))

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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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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, Naples, Italy

    Flora Amato, Walter Balzano, Giovanni Cozzolino & Alessandro de Luca

  2. Department of Scienze Politiche, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

Authors
  1. Flora Amato
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  2. Walter Balzano
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  3. Giovanni Cozzolino
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  4. Alessandro de Luca
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  5. Francesco Moscato
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Corresponding author

Correspondence to Flora Amato .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Amato, F., Balzano, W., Cozzolino, G., de Luca, A., Moscato, F. (2019). Textual Processing in Social Network Analysis. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_80

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