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Erschienen in:

2016 | OriginalPaper | Buchkapitel

Malicious Event Detecting in Twitter Communities

verfasst von : Flora Amato, Giovanni Cozzolino, Antonino Mazzeo, Sara Romano

Erschienen in: Intelligent Interactive Multimedia Systems and Services 2016

Verlag: Springer International Publishing

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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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Titel: Malicious Event Detecting in Twitter Communities
verfasst von: Flora Amato
Giovanni Cozzolino
Antonino Mazzeo
Sara Romano
Verlag: Springer International Publishing
Buch: Intelligent Interactive Multimedia Systems and Services 2016
Print ISBN: 978-3-319-39344-5

Electronic ISBN: 978-3-319-39345-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-39345-2_6

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