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Christodoulos Efstathiades, 04/29/2015 01:27 PM
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Micro-blogging platforms and social networks have gained a lot of attention both by the media as well as by researchers. The spatio temporal information provided explicitly or implicitly by the users of such platforms, as well as additional information that can be mined from the social network's structure, render these types of platforms a rich source of information that can be used to make more timely and effective decisions based on the users' behavior. A lot of work has been done towards the creation of frameworks for Twitter analytics, but these solutions usually focus on specific tasks. The lack of complete and integrated solutions as recognized by current research leads us to the proposal of TwitterViz a complete solution for the visualization and analysis of spatio-temporal twitter data in combination with the analysis of the twitter graph, by leveraging the use of a popular graph database and using state of the art visualization tools that aim in providing insights to the non-expert.