Abstract
The rapid growth of social networking and gaming sites is associated with an increase of online bullying activities which, in the worst scenario, result in suicidal attempts by the victims. In this paper, we propose an effective technique to detect and rank the most influential persons (predators and victims). It simplifies the network communication problem through a proposed detection graph model. The experimental results indicate that this technique is highly accurate.
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Nahar, V., Unankard, S., Li, X., Pang, C. (2012). Sentiment Analysis for Effective Detection of Cyber Bullying. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_75
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DOI: https://doi.org/10.1007/978-3-642-29253-8_75
Publisher Name: Springer, Berlin, Heidelberg
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