A Visualization Framework of Information Flows on a Very Large Social Network


Shin-Gyu Kim, Heon-Y. Yeom, Journal of Information Processing Systems Vol. 10, No. 3, pp. 131-140, Jun. 2009  


Keywords: Social Network, Visualization
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Abstract

Recently, the information visualization research community has given significant attention to graph visualization, especially visualization of social networks. However, visualization of information flows in a very large social network has not been studied in depth. However, information flows are tightly related to the structure of social networks and it shows dynamic behavior of interactions between members of social networks. Thus, we can get much useful information about social networks from information flows. In this paper, we present our research result that enables users to navigate a very large social network in Google Maps' method and to take a look at information flows on the network. To this end, we devise three techniques; (i) mapping a very large social network to a 2-dimensional graph layout, (ii) exploring the graph to all directions with zooming it in/out, and (iii) building an efficient query processing framework. With these methods, we can visualize very large social networks and information flows in a limited display area with a limited computing resources.


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Cite this article
[APA Style]
Kim, S. & Yeom, H. (2009). A Visualization Framework of Information Flows on a Very Large Social Network. Journal of Internet Computing and Services, 10(3), 131-140.

[IEEE Style]
S. Kim and H. Yeom, "A Visualization Framework of Information Flows on a Very Large Social Network," Journal of Internet Computing and Services, vol. 10, no. 3, pp. 131-140, 2009.

[ACM Style]
Shin-Gyu Kim and Heon-Y. Yeom. 2009. A Visualization Framework of Information Flows on a Very Large Social Network. Journal of Internet Computing and Services, 10, 3, (2009), 131-140.