MultiOSN

Abstract

The flow of information in online social media during events has been widely studied in the computer science community. It has also been shown how information picked from online social media can help to eventually aid eventful, especially, crisis situations in real life. However, most of the work has focused on utilizing a single social network for monitoring such events, mostly Twitter. Given the immense popularity and diversity of various online social networks across the globe, studying multiple online social networks during an event can reveal much more information about the event, than a single online social network. In this work, we present MultiOSN, a framework which collects data from five different online social networks viz. Facebook, Twitter, Google+, YouTube, and Flickr, and presents real-time analytics and visualizations. MultiOSN can be particularly helpful to users and organizations which are directly or indirectly connected to law and order. Organizations can utilize MultiOSN to uncover the general sentiment of social media users about an event, and trace public gatherings for example, which are usually discussed and planned publicly on social networking platforms.

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