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Visual Analysis of Spatio-Temporal Distribution and Retweet Relation in Weibo Event

Visual Analysis of Spatio-Temporal Distribution and Retweet Relation in Weibo Event

Abstract:

Sina Weibo is the most popular microblog service in China and it can provide abundant information about netizens’ attitudes and opinions to those events which are exposed on the Internet. However, it is difficult to know the characteristics of internet public opinions, such as the evolution of users’ focus over time, spatio-temporal distribution of users participating in event comments, weibo retweet relation, etc. To fully understand those, we propose a visual analytic system of Weibo Event, short for WeiboViz, which can be mainly divided into four subparts: fundamental information visualization, spatio-temporal distribution visualization, keywords and entities visualization, weibo retweet relation visualization. A case study of “‘Pseudomonas aeruginosa’ exceeded in the Master Kong You Yue drinking water” demonstrates the effectiveness of the proposed system for the exploration and understanding of weibo data about specific event.
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