Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs

Author

Chau, Duen Horng ; Akoglu, Leman ; Vreeken, Jilles ; Hanghang Tong ; Faloutsos, Christos

fYear

2012

fDate

26-29 Aug. 2012

Firstpage

696

Lastpage

698

Abstract

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.

Keywords

data visualisation; graph theory; interactive systems; DBLP coauthorship graph; TOURVIZ; interaction feature; interactively exploring tour; large graph; marked nodes; visualization feature; visually exploring tour; Algorithm design and analysis; Computational biology; Connectors; Data visualization; Educational institutions; Machine learning; Usability; Connection subgraphs; Networks; Sensemaking;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-4673-2497-7

Type

conf

DOI

10.1109/ASONAM.2012.115

Filename

6425688