Open AccessThe Visualization of Mass Information in Social Network with a Holistic View
Author(s) -
Xin Li,
Xia Zhang,
Peng Cui,
Zhiyong Fu,
Shiqiang Yang,
Baoguo Cui
Publication year - 2011
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/eva2011.24
Subject(s) - computer science , visualization , dimension (graph theory) , social network (sociolinguistics) , dissemination , graph drawing , data visualization , human–computer interaction , information flow , social network analysis , space (punctuation) , graph , organizational network analysis , world wide web , social media , data mining , knowledge management , theoretical computer science , telecommunications , linguistics , philosophy , mathematics , pure mathematics , operating system , organizational learning
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.
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