Title :
Visualization research of the tweet diffusion in the microblog network
Author :
Jing Lu ; Xiaoqing Yu ; Wanggen Wan
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
With the development of big data technology, information visualization plays an increasingly important role in the social network, especially the microblog network. The path of the tweet diffusion shows the relationships among microblog users and constructs a directed network among them. The microblog data mining project and the visualization process of the tweet propagation are described in detail. The visualization results of the tweet propagation indicate that there are two typical transmission path patterns: the dandelion pattern and the double-star pattern. The visualization research may easily discover the key retweeting nodes in the tweet diffusion network.
Keywords :
Big Data; data mining; data visualisation; network theory (graphs); social networking (online); Big Data technology; information visualization; microblog data mining; microblog network; tweet diffusion network; Authorization; Data mining; Data visualization; Educational institutions; Layout; Uniform resource locators; Visualization; microblog; path; retweeting; tweet diffusion; visualization;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009863