Related Publications 

Social Media and Event-based Analysis

Finding Business Information by Visualizing Enterprise Document Activity

Wang X., Janssen, W., Bier, E.  --20% acceptance rate

SIGCHI Advanced Visual Interface 2010, Rome Italy.

VAST 2011 Challenge Award: High Potential for Scalability.

Team UNC Charlotte: Harrison, L., Dou, W., Lu, A., Ribarsky, W. and Wang, X.

VAST Challenge 2011

ParallelTopics: A Probabilistic Approach to Exploring Document Collections

Dou, W., Wang, X., Chang, R., and Ribarsky, W.

IEEE VAST 2011, October, Providence IR, USA.

Leadline: Interactive visual analysis of text data through event identification and exploration

Dou, W., Wang, X., Skau, D. Ribarsky, W., and Zhou, M.

IEEE VAST 2012, October, Seattle.

RiskVA: A visual analytics system for consumer credit risks analysis

Wang, X., Dong, H. Jeong, Remco, C., and Ribarsky, W.

Tsinghua Science & Technology Journal.17(4):pp1–16, August 2012

I-SI: Scalable architecture of analyzing latent topical-level information from social media data
Wang, X., Dou, W., Butkiewicz, T., Bier, E.A., and Ribarsky, W.
EuroVis 2012 Computer Graphics Forum.

HierarchicalTopics: Visually exploring large text collections using topic hierarchies.
Wenwen Dou, Xiaoyu Wang, Li Yu, and William Ribarsky.
IEEE Transactions in Visualization and Computer Graphics (IEEE VAST 2013), 2013.

Towards a Visual Analytics Framework for Handling Complex Business Processes
William Ribarsky, Xiaoyu Wang, Wenwen Dou, and William Tolone
Hawaii International Conference on System Sciences (HICSS) 47, 2014

Less After-the-Fact: Investigative Visual Analysis of Events from Streaming Twitter
Thomas Kraft, Xiaoyu Wang, Jeffery Delawder, Wenwen Dou, Li Yu, William Ribarsky
The 3rd IEEE Symposium on Large Data Analysis and Visualization, 2013