Exploring content-actor paired network data using iterative query refinement with NetLens

Authors:
Hyunmo Kang;Catherine Plaisant;Bongshin Lee;Benjamin B. Bederson
Affiliations:
University of Maryland Institute for Advanced Computer Studies, College Park, MD;University of Maryland Institute for Advanced Computer Studies, College Park, MD;University of Maryland, College Park, MDUniversity of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Year:
2006

Citing 2
Cited 0

Snap-together visualization: can users construct and operate coordinated visualizations?

International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Graph Visualization and Navigation in Information Visualization: A Survey

IEEE Transactions on Visualization and Computer Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper demonstrates a tool, NetLens, to explore a Content-Actor paired network data model. The NetLens interface was designed to allow users to pose a series of elementary queries and iteratively refine visual overviews and sorted lists. This enables the support of complex queries that are traditionally hard to specify in node-link visualizations. NetLens is general and scalable in that it applies to any dataset that can be represented with our abstract Content-Actor data model