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A survey of event detection techniques in online social networks

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Abstract

The online social networks (OSNs) have become an important platform for detecting real-world event in recent years. These real-world events are detected by analyzing huge social-stream data available on different OSN platforms. Event detection has become significant because it contains substantial information which describes different scenarios during events or crisis. This information further helps to enable contextual decision making, regarding the event location, content and the temporal specifications. Several studies exist, which offers plethora of frameworks and tools for detecting and analyzing events used for applications like crisis management, monitoring and predicting events in different OSN platforms. In this paper, a survey is done for event detection techniques in OSN based on social text streams—newswire, web forums, emails, blogs and microblogs, for natural disasters, trending or emerging topics and public opinion-based events. The work done and the open problems are explicitly mentioned for each social stream. Further, this paper elucidates the list of event detection tools available for the researchers.

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  1. Symbiosis Centre of Information Technology (SCIT), Symbiosis International University (SIU), Rajiv Gandhi Infotech Park, Hinjewadi, Pune, Maharashtra State, 411057, India

    Anuradha Goswami & Ajey Kumar

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Goswami, A., Kumar, A. A survey of event detection techniques in online social networks. Soc. Netw. Anal. Min. 6, 107 (2016). https://doi.org/10.1007/s13278-016-0414-1

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