Abstract
Social networking services gain more often interest for research goals in several fields and applications. The number of active users of social networking services like Twitter raised up to 320 million per month in 2015. The rich knowledge that has accumulated in the social sites enables to catch the reflection of real world events. In this work we present a general framework for event detection from Twitter. The framework implements techniques that can be exploited for malicious event detection in Twitter communities.
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Amato, F., Cozzolino, G., Mazzeo, A., Romano, S. (2016). Malicious Event Detecting in Twitter Communities. In: Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2016. Smart Innovation, Systems and Technologies, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-39345-2_6
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DOI: https://doi.org/10.1007/978-3-319-39345-2_6
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