EvoRiver: Visual Analysis of Topic Coopetition on Social Media

By Guodao Sun, Yingcai Wu, Shixia Liu, Tai-Quan Peng, Jonathan J. H. Zhu, Ronghua Liang. 2014

135 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jun Zhu
2. Chongxuan Li
3. Shixia Liu
4. Mengchen Liu
5. Jiaxin Shi
6. Z. Li
7. Xiting Wang
8. Weiwei Cui

In Sociology and Political Science

1. Jun Zhu
2. Jian Pei
3. Mengchen Liu
4. Xiting Wang
5. Shimei Pan
6. Weiwei Cui
7. Shixia Liu

In Statistical and Nonlinear Physics

1. Jiaxin Shi
2. Mengchen Liu
3. Weiwei Cui
4. Shixia Liu
5. Chongxuan Li
6. Jun Zhu
7. Jian Pei
8. Z. Li

Citations in the corpus

• Towards Better Analysis of Deep Convolutional Neural Networks (2016, methodology): “To address this issue, we improved existing DAG layout methods [18, 40, 52, 55, 57].”
• Online Visual Analytics of Text Streams (2015, background): “Recently, Sun et al. [33] extended this work to study both the cooperation and competition relationships among topics.”
• An Uncertainty-Aware Approach for Exploratory Microblog Retrieval (2015, methodology): “The methods applied include event detection [30], topic extraction and analysis [25, 40, 50], information diffusion [8, 52], sentiment analysis [47, 48], and revenue/stock prediction [28, 34].”