Real-time Localized Event Detection from Social Media Stream


  • Mr. Shubham Gupta, PhD Candidate, IIT Jodhpur


Social media has become an essential part of daily life. People use social networking platforms to share their thoughts, proposals, and activities. We can hardly imagine any event without Facebook or Twitter posts. This is even true for natural disasters and activities such as agitations, accidents, or crimes. In other words, any physical event finds its place in social networks. Social network activities often precede the actual event or before it reaches mainstream media \cite{McMinn2013}. This observation leads to one question: “Can we predict or find real-world events from social media data streams?”

Suman Kundu
Suman Kundu
Assistant Professor of Computer Science and Engineering

My research interests include social network analysis, network data science, streaming algorithms, big data, granular computing, soft computing, fuzzy and rough sets.