Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

iSphere: Focus+Context sphere visualization for interactive large graph exploration

Du, F and Cao, N and Lin, YR and Xu, P and Tong, H (2017) iSphere: Focus+Context sphere visualization for interactive large graph exploration. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Interactive exploration plays a critical role in large graph visualization. Existing techniques, such as zoom-and-pan on a 2D plane and hyperbolic browser facilitate large graph exploration by showing both the details of a focal area and its surrounding context that guides the exploration process. However, existing techniques for large graph exploration are limited in either providing too little context or presenting graphs with too much distortion. In this paper, we propose a novel focus+context technique, iSphere, to address the limitation. iSphere maps a large graph onto a Riemann Sphere that better preserves graph structures and shows greater context information. We conduct extensive experiment studies on different graph exploration tasks under various conditions. The results show that iSphere performs the best in task completion time compared to the baseline techniques in link and path exploration tasks. This research also contributes to understanding large graph exploration on small screens.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Du, F
Cao, N
Lin, YRYURULIN@pitt.eduYURULIN0000-0002-8497-3015
Xu, P
Tong, H
Date: 2 May 2017
Date Type: Publication
Journal or Publication Title: Conference on Human Factors in Computing Systems - Proceedings
Volume: 2017-M
Page Range: 2916 - 2927
Event Type: Conference
DOI or Unique Handle: 10.1145/3025453.3025628
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450346559
Date Deposited: 30 Jun 2017 14:57
Last Modified: 06 Sep 2023 10:56
URI: http://d-scholarship.pitt.edu/id/eprint/32598

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item