Mapreduce Based Framework for Social Media Post Visualization

Abstract

Handling huge amount of data scalable is a matter of concern for a long time. We all know that social media generates huge amounts of data the explosive growth of social media is one of the reasons that 90% of all the data in the world has been generated in the last two years alone. When we use services like Facebook and Twitter, we agree to let those to store our photos, public observations, and private communications. In exchange, they conveniently structure that information and make it easy for us to access. Reviewing our social media timelines, we can see the stories of our own lives told right in front of us. Visualization of our social media data takes the storytelling to another level, and gives us insights into our own lives that we might never achieve on our own. Social graph visualizations help us make sense of the social dynamics that are playing around us. Therefore, we must be sure about only important things, post or data we can visualizes firstly. I can start to ask, how much overlap is there between my network of friends from university and my professional network? How many of my colleagues are linked with Facebook have Connection to people I’ve met at my previous jobs? And who are the important social connectors in my life who bridge the gaps between all these different groups? At a glance, I can see what ideas matter to the people I care about. Big data, social media and visualization are sure to remain hot topics for the foreseeable future.

Cite this Article
Wakle Dhananjay, Pandit Swapnil, Suryawanshi Sushil et al. Mapreduce Based Framework for Social Media Post Visualization. Journal of Advanced Database Management & Systems. 2015; 2(2): 49–52p.