Shneiderman B, Aris A. "Network visualization by semantic substrates" IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 12 (5): 733-740 SEP-OCT 2006
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Tue Mar 20 13:28:54 EDT 2007
E-mail Addresses: ben at cs.umd.edu, aris at cs.umd.edu
Title: Network visualization by semantic substrates
Author(s): Shneiderman B (Shneiderman, Ben), Aris A (Aris, Aleks)
Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 12 (5):
733-740 SEP-OCT 2006
Document Type: Article
Language: English
Cited References: 38 Times Cited: 0
Abstract: Networks have remained a challenge for information visualization
designers because of the complex issues of node and link layout coupled
with the rich set of tasks that users present. This paper offers a strategy
based on two principles: (1) layouts are based on user-defined semantic
substrates, which are non-overlapping regions in which node placement is
based on node attributes, (2) users interactively adjust sliders to control
link visibility to limit clutter and thus ensure comprehensibility of
source and destination. Scalability is further facilitated by user control
of which nodes are visible. We illustrate our semantic substrates approach
as implemented in NVSS 1.0 with legal precedent data for up to 1122 court
cases in three regions with 7645 legal citations.
Addresses: Shneiderman B (reprint author), Univ Maryland, Dept Comp Sci,
College Pk, MD 20742 USA
Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
Univ Maryland, Human Comp Interact Lab, College Pk, MD 20742 USA
E-mail Addresses: ben at cs.umd.edu, aris at cs.umd.edu
Publisher: IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS
ALAMITOS, CA 90720-1314 USA
Subject Category: Computer Science, Software Engineering
IDS Number: 096NE
ISSN: 1077-2626
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