A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Major Information Visualization Authors, Papers and Topics in the ACM Library
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
IN-SPIRE InfoVis 2004 Contest Entry
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Understanding Eight Years of InfoVis Conferences Using PaperLens
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
WilmaScope Graph Visualisation
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Understanding research trends in conferences using paperLens
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts
IEEE Transactions on Visualization and Computer Graphics
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
NodeTrix: a Hybrid Visualization of Social Networks
IEEE Transactions on Visualization and Computer Graphics
Multiscale visualization of small world networks
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
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This paper proposes a visualization system for getting insight into future research activities from co-authorship networks. A bibliographic network such as a co-authorship network and a citation network is important information for researchers when doing a research survey. In particular, there are many requests on research survey that relate with researchers' future activities, such as identification of remarkable of researchers including growing researchers and supervisors. Although a citation network has received many attentions from researchers, it is not suitable for such surveys because it reflects researchers' past activities. Since collaboration of researchers is essential for researchers' activities, co-authorship network is suitable for predicting future activities. In order to get insights into future research activities by discriminating growing research areas from grown-up areas, the proposed visualization system provides the function for identifying research areas and that for identifying time variation of both network structure and keyword distribution. As a basis for getting insights into future research activities, this paper focuses on the task of discriminating growing researchers from supervisors. The effectiveness of the proposed system is evaluated through the detailed analysis of two participants' analyzing process of InfoVis 2004 Contest dataset.