Web-based visual analytics for social media

Abstract

Social media provides a rich source of data that reflects current trends on a multitude of topics. The data can be harvested from Twitter, Facebook, blogs, and other social applications. The high rate of adoption of social media has created a domain that is difficult to analyze, due to the ever-expanding volume of data. Information visualization is key in drawing out features of interest in social media. The Scalable Reasoning System is an application that couples a back-end server equipped with analysis algorithms and an intuitive visual interface to allow for investigation. We provide a componentized system that can be rapidly adapted to user needs. The information in which they are most interested is featured prominently in the application. As an example, we have developed a weather and traffic monitoring application for use by emergency operators in the city of Seattle. Copyright © 2012, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.