TourViz: Interactive visualization of connection pathways in large graphs

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present TourViz, a system that helps its users to interactively visualize and make sense in large network datasets. In particular, it takes as input a set of nodes the user specifies as of interest and presents the user with a visualization of connection subgraphs around these input nodes. Each connection subgraph contains good pathways that highlight succinct connections among a "close-by" group of input nodes. TourViz combines visualization with rich user interaction to engage and help the user to further understand the relations among the nodes of interest,by exploring their neighborhood on demand as well as modifying the set of interest nodes. We demonstrate TourViz's usage and benefits using the DBLP graph, consisting of authors and their co-authorship relations, while our system is designed generally to work with any kind of graph data. We will invite the audience to experiment with our system and comment on its usability, usefulness, and how our system can help with their research and improve the understanding of data in other domains.

Original languageEnglish (US)
Title of host publicationKDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Pages1516-1519
Number of pages4
DOIs
StatePublished - Sep 14 2012
Externally publishedYes
Event18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012 - Beijing, China
Duration: Aug 12 2012Aug 16 2012

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Other

Other18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012
CountryChina
CityBeijing
Period8/12/128/16/12

Keywords

  • connection subgraphs
  • large networks
  • sensemaking

ASJC Scopus subject areas

  • Software
  • Information Systems

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