The visualization of mass information in social network with a holistic view

Authors:
Xin Li;Xia Zhang;Peng Cui;Zhiyong Fu;Shiqiang Yang;Baoguo Cui
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China;School of Journalism and Communication, Tsinghua University, Beijing, P. R. China;Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China;Department of Information Art and Design, Tsinghua University, Beijing, P. R. China;Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China;School of Journalism and Communication, Tsinghua University, Beijing, P. R. China
Venue:
EVA'11 Proceedings of the 2011 international conference on Electronic Visualisation and the Arts
Year:
2011

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Abstract

In this paper, we propose visualization for mass information in the social network with a holistic view, which focused on representing the effect of user communication. With the Rapid Expansion of social network, it is necessary to provide a holistic view to the users and researchers to understand the effect of information communicated in the network. The social network users will be visualized in 3-dimension space, with 2-dimension graph layouts delivering various characteristic of the network. The layout is mainly based on user's role in the network, but not the relationship of users in the traditional way. By visualizing the disseminating and stop of information flow among users, we can distinguish users by their effect and contribution in communication among the network. The visualization combines technology, content and expression. We can then study the social network by the performance of the network structure situation and information flow.