2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2012)
Aug. 26, 2012 to Aug. 29, 2012
We present TOURVIZ, a interactive system for visualizing and making sense of large network datasets. Given a set of user-specified nodes of interest, TOURVIZ integrates 1) novel algorithms to find the best sub graphs that succinctly connect these nodes, and 2) visualization and interaction features that help people explore such sub graphs. We will demonstrate TOURVIZ's usage and benefits using the DBLP co-authorship graph, which consists of 329K authors (nodes) and 1094K co-authorship relations (edges). TOURVIZ can work with any kinds of graphs. We will engage the audience to try our system and comment on its usability, usefulness, and how our system may help with their work and data analytics in their domains.
Data visualization, Educational institutions, Algorithm design and analysis, Computational biology, Usability, Connectors, Machine learning, Connection subgraphs, Sensemaking, Networks
C. Faloutsos, J. Vreeken, L. Akoglu, D. H. Chau and Hanghang Tong, "Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs," 2012 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining(ASONAM), Istanbul, 2012, pp. 696-698.