DataViz: High velocity data visualization and retrieval of relevant information from social network

Social networking sites are popular platforms where users often share information and know relevant news. There is also growing interest in using them during and after natural or artificial disasters. As they are easily accessible and easy to use, such platforms can deliver efficient information that can provide better conditional awareness for emergency response. On the other hand, different types of media agencies including newspapers, TV channels and FM radios share information in social media. Sometimes, such media agencies post in online social network (OSN) (Facebook, Twitter, etc.) and ask users´ feedback through comments. They also declare some lucrative facilities for a user who give maximum comments to that post or contact directly to the users who give qualitative comments. In case of a live reality shows in TV channels, they ask votes from viewers for a fixed set of candidates within very limited times. As a result, in a few minutes, more than 1,000 comments are found in such posts which is really difficult to stream and retrieve some information at the same time. In this paper, we show data pattern of social media during and after disasters as well as live programs. We also discuss two new problems of media agencies, analyze some scenarios and propose novel solution for each of the problem. We conduct a significant set of experiments on the collected data from official facebook page of Roger Federer1 and DhakaFM90.42 to evaluate the effectiveness of our proposed approaches.