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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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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