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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