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

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.

[1]  Yale Song,et al.  #FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media , 2014, IEEE Transactions on Visualization and Computer Graphics.

[2]  Chen Huang,et al.  Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake , 2011, CSCW.

[3]  Bernardo A. Huberman,et al.  Artificial Inflation: The True Story of Trends in Sina Weibo , 2012, ArXiv.

[4]  Thomas Ertl,et al.  Spatiotemporal anomaly detection through visual analysis of geolocated Twitter messages , 2012, 2012 IEEE Pacific Visualization Symposium.

[5]  Michael S. Bernstein,et al.  Twitinfo: aggregating and visualizing microblogs for event exploration , 2011, CHI.

[6]  Zhiyuan Liu,et al.  ImgWordle: image and text visualization for events in microblogging services , 2014, AVI.

[7]  Ting Liu,et al.  Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog , 2014, Multimedia Tools and Applications.

[8]  Quan Li,et al.  Visual analysis of retweeting propagation network in a microblogging platform , 2013, VINCI '13.

[9]  Ross Maciejewski,et al.  Understanding Twitter data with TweetXplorer , 2013, KDD.

[10]  Cecilia R. Aragon,et al.  Collaborative Visual Analysis of Sentiment in Twitter Events , 2014, CDVE.

[11]  Xiaokang Yang,et al.  Analysis and identification of spamming behaviors in Sina Weibo microblog , 2013, SNAKDD '13.

[12]  Daniel A. Keim,et al.  Visual sentiment analysis on twitter data streams , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[13]  Xin Zhang,et al.  WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System , 2014, 2014 IEEE Pacific Visualization Symposium.