Network Visualization by Semantic Substrates

Author

Shneiderman, B. ; Aris, A.

Author_Institution

Dept. of Comput. Sci., Maryland Univ., College Park, MD

Volume

12

Issue

5

fYear

2006

Firstpage

733

Lastpage

740

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

Keywords

data visualisation; graphical user interfaces; NVSS 1.0; graphical user interfaces; information visualization designers; legal citations; legal precedent data; network visualization; user-defined semantic substrates; Automatic control; Data visualization; Displays; Filters; Graphical user interfaces; Law; Legal factors; Scalability; Terminology; Tunneling; Network visualization; graphical user interfaces; information visualization; semantic substrate;

fLanguage

English

Journal_Title

Visualization and Computer Graphics, IEEE Transactions on

Publisher

ieee

ISSN

1077-2626

Type

jour

DOI

10.1109/TVCG.2006.166

Filename

4015424