Event Identification in Social Networks

June 28, 2016 Β· Declared Dead Β· πŸ› Encycl. Semantic Comput. Robotic Intell.

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Authors Fattane Zarrinkalam, Ebrahim Bagheri arXiv ID 1606.08521 Category cs.IR: Information Retrieval Cross-listed cs.SI Citations 21 Venue Encycl. Semantic Comput. Robotic Intell. Last Checked 4 months ago
Abstract
Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand the current emerging topics/events. The ability to model emerging topics is a substantial step to monitor and summarize the information originating from social sources. Applying traditional methods for event detection which are often proposed for processing large, formal and structured documents, are less effective, due to the short length, noisiness and informality of the social posts. Recent event detection techniques address these challenges by exploiting the opportunities behind abundant information available in social networks. This article provides an overview of the state of the art in event detection from social networks.
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