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Computational Analysis of Bullying Behavior in the Social Media Era

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11055))

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Abstract

Internet and cyber-technology have played an important positive role but it also served as a venue for cyber-bullying. This paper presents a computational model for online bullying. Its evaluation was done by simulation experiments and mathematical analysis, in comparison to expected patterns from the empirical literature. This model may provide useful input to build a support system to avoid this negative social behavior within society.

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Notes

  1. 1.

    http://wims.unice.fr/wims/wims.cgi?session=BXC074F7D4.2&+lang=nl&+module=tool%2Flinear%2Flinsolver.en

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Authors and Affiliations

  1. Behavioural Informatics Group, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

    Fakhra Jabeen & Jan Treur

Authors
  1. Fakhra Jabeen
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  2. Jan Treur
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Corresponding author

Correspondence to Jan Treur .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Jabeen, F., Treur, J. (2018). Computational Analysis of Bullying Behavior in the Social Media Era. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-98443-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98442-1

  • Online ISBN: 978-3-319-98443-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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