Event Popularity Analysis Introducing Network Structure on Social Media

Abstract

Event popularity analysis is an important task for grasping ongoing trends about some events from social media and the internet. Especially, it is required in a crisis situation from the viewpoint of appropriate information transmission and prevention of false rumor diffusion. In this paper, we propose Net-TF-SW: noise-robust and explainable topic popularity analysis method and apply it for tweets related to the Fukushima Daiichi Nuclear Disaster. We also compare with existing methods and show our method is more robust for noise than them.