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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 1/2016

01.12.2016 | Review Article

A survey of event detection techniques in online social networks

verfasst von: Anuradha Goswami, Ajey Kumar

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2016

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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.
Vorheriger Artikel Hierarchies, ties and power in organizational networks: model and analysis
Nächster Artikel Recommendation information diffusion in social networks considering user influence and semantics

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Metadaten
Titel
A survey of event detection techniques in online social networks
verfasst von
Anuradha Goswami
Ajey Kumar
Publikationsdatum
01.12.2016
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2016
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0414-1

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