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Towards Exposing Cyberstalkers in Online Social Networks

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PRICAI 2016: Trends in Artificial Intelligence (PRICAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9810))

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Abstract

This paper presents work-in-progress towards a computational approach for capturing a type of deviant behaviors, that are characterised by persistent monitoring and information gathering through online social medias. Such behaviors are commonly associated with stalking on the cyberspace. We present a network-based framework for describing online user interactions. Based on this framework we provide a description of excessive and unreciprocated attention an agent pays to another agent. We conclude with a discussion on limitation of the current work and a guideline for future extensions.

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Author information

Authors and Affiliations

  1. The University of Auckland, Auckland, New Zealand

    Jiamou Liu

  2. Auckland University of Technology, Auckland, New Zealand

    Yingying Tao & Quan Bai

Authors
  1. Jiamou Liu
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  2. Yingying Tao
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  3. Quan Bai
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Corresponding author

Correspondence to Jiamou Liu .

Editor information

Editors and Affiliations

  1. Cardiff University, Cardiff, United Kingdom

    Richard Booth

  2. Southeast University , Nanjing, China

    Min-Ling Zhang

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© 2016 Springer International Publishing Switzerland

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Liu, J., Tao, Y., Bai, Q. (2016). Towards Exposing Cyberstalkers in Online Social Networks. In: Booth, R., Zhang, ML. (eds) PRICAI 2016: Trends in Artificial Intelligence. PRICAI 2016. Lecture Notes in Computer Science(), vol 9810. Springer, Cham. https://doi.org/10.1007/978-3-319-42911-3_64

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  • DOI: https://doi.org/10.1007/978-3-319-42911-3_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42910-6

  • Online ISBN: 978-3-319-42911-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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