3D Information Visualization for Analyzing Temporal Changes in Social Media Contents

Abstract

In current society, we can easily and rapidly publish information on our personal activities and interests using social media including blogs and microblogs. They are considered to provide valuable information from the viewpoints of sociology, linguistics, marketing, and urban planning. This paper introduces five 3D information visualization systems developed by authors for analyzing temporal changes in social media contents: 3D visualization systems for 1) tracing influencers in a blog space using time-series of web graphs, 2) analyzing temporal changes in bloggers’ activities and interests through interacting with phrase dependency structures in sentences, 3) analyzing visual trends based on clustering images in blog articles, 4) inter-media comparison through images extracted from different types of media, and 5) spatio-temporal events extracted from a geo-parsed twitter stream. We also introduce several case studies to demonstrate the usefulness of our introducing systems.