Guodao Sun*1,2   				
                Yingcai Wu1   
	            Shixia Liu1      
				Tai-Quan Peng3   
	            Jonathan Z.H. Zhu4   				
	            Ronghua Liang2
                  	        
                
				 Authors associated with * are/were the interns under the supervision of Yingcai Wu in MSRA 
                
                
                     1Microsoft Research Asia
                     2 Zhejiang University of Technology                
    
                     3Nanyang Technological University
                     4City University of Hong Kong
                
            Cooperation and competition (jointly called "coopetition") are two modes of interactions among a set of related topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compete with one another? Who plays the key role in coopetition-related interactions? We answer these intricate questions by proposing a visual analytics system that facilitates the in-depth analysis of topic coopetition on social media. We model the complex interactions among topics as a combination of carry-over, coopetition recruitment, and coopetition distraction effects. This model provides a close functional approximation of the coopetition process by depicting how different groups of influential users (i.e., "topic leaders") affect coopetition. We also design EvoRiver, a time-based visualization, that allows users to explore coopetition-related interactions and to detect dynamically evolving patterns as well as their major causes. We test our model and demonstrate the usefulness of our system based on two Twitter data sets (social topics data and business topics data).
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                @article {YWu2014b,
                author = {Guodao Sun and Yingcai Wu and Shixia Liu and Tai-Quan Peng and Jonathan J. H. Zhu and Ronghua Liang},
                title = {{EvoRiver}: Visual Analysis of Topic Coopetition on Social Media},
                journal = {IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2014},
                year = {2014},
                volume = {20},
                number = {12}
                } 
            
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