Main Page: Difference between revisions

From visone manual
Jump to navigation Jump to search
No edit summary
(removed text outside boxes)
Line 1: Line 1:
visone (''italian for mink'')
is a software for the '''visual''' creation, transformation,
exploration, analysis, and representation of network data,
jointly developed at the University of Konstanz and the Karlsruhe Institute of Technology since 2001.
To provide easy and fast access for newbies and support advanced users equally, the visone wiki
is built on these main categories:
* [[Trails]] guide you through '''common usage scenarios'''; they are probably the easiest way to learn about visone
* Complementarily, a '''quick reference guide''' is describing
** [[GUI|Graphical User Interface]] components and their functionalities and
** [[Concepts|Algorithms, Methods, Concepts]] underlying the implementation
* [[Applications|Data sets and research applications]] provide additional guidance future applications can build on
{| id="welcome" style="width:100%; background:#f9f9f9; margin:1.2em 0 6px 0; border:1px solid #ddd;"
{| id="welcome" style="width:100%; background:#f9f9f9; margin:1.2em 0 6px 0; border:1px solid #ddd;"
| style="white-space:nowrap; color:#000; font-size:162%; border:none; margin:0; padding:1em;" | Welcome to visoneWiki
| style="white-space:nowrap; color:#000; font-size:162%; border:none; margin:0; padding:1em;" | Welcome to visoneWiki

Revision as of 09:03, 23 January 2011

Welcome to visoneWiki

visone (italian for mink) is a software for the visual creation, transformation, exploration, analysis, and representation of network data, jointly developed at the University of Konstanz and the Karlsruhe Institute of Technology since 2001.

To provide easy and fast access for newbies and support advanced users equally, the visone wiki is built on these main categories:


Trails

Trails guide you through common usage scenarios; they are probably the easiest way to learn about visone

Quick reference guide

Complementarily, a quick reference guide is describing

Data sets and research applications

Data sets and research applications provide additional guidance future applications can build on