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. |
Year | DOI | Venue |
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2014 | 10.1109/VAST.2014.7042535 | IEEE VAST |
Keywords | Field | DocType |
social media flow visualization,filtering step,information diffusion process,microblog propagation,microblog network,data analysis,network visual analytical tools,data visualisation,social networking (online) | Data mining,World Wide Web,Social media,Computer science,Visualization,Microblogging,Filter (signal processing) | Conference |
ISSN | Citations | PageRank |
2325-9442 | 1 | 0.34 |
References | Authors | |
4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoru Yuan | 1 | 1157 | 70.28 |
Zhenhuang Wang | 2 | 17 | 2.89 |
Zipeng Liu | 3 | 2 | 1.71 |
Cong Guo | 4 | 100 | 5.18 |
Hongwei Ai | 5 | 1 | 0.34 |
Donghao Ren | 6 | 174 | 9.39 |