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2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (2014)
Paris, France
Oct. 25, 2014 to Oct. 31, 2014
ISBN: 978-1-4799-6227-3
pp: 291-292
Xiaoru Yuan , Peking University
Zhenhuang Wang , Peking University
Zipeng Liu , Peking University
Cong Guo , Peking University
Hongwei Ai , Peking University
Donghao Ren , University of California, Santa Barbara
ABSTRACT
Microblog network, with its structural complexity and variety, prevents trivial network visual analytical tools from providing effective insight into the diffusion process of information and the effect of human participation on it. Therefore, we propose an advanced system to help users identify the key players and their various roles in the propagation of microblogs and thus analyze them based on the relations of relevant entities in between, by connecting multiple steps of filtering.
INDEX TERMS
Educational institutions, Color, Media, Electronic mail, Visual analytics, Companies
CITATION

X. Yuan, Z. Wang, Z. Liu, C. Guo, H. Ai and D. Ren, "Visualization of social media flows with interactively identified key players," 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 2014, pp. 291-292.
doi:10.1109/VAST.2014.7042535
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