Main Page: Difference between revisions

From visone manual
Jump to navigation Jump to search
No edit summary
No edit summary
 
(21 intermediate revisions by 5 users not shown)
Line 1: Line 1:
visone (''italian for mink'')
'''visone''' (''ital.:'' mink; '''vi'''sual '''so'''cial '''ne'''tworks) 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. __TOC__
is a software for the '''visual''' creation, transformation,
{| id="overview" style="width: 100%; margin:4px 0 0 0; background:none; border-spacing: 0px;"
exploration, analysis, and representation of network data,
jointly developed at University of Konstanz and Karlsruhe Institute of Technology since 2001.


To provide easy and fast access for newbies and support advanced users equally, the visone wiki
| style="border:1px solid #ffe6f2; background:#fff5fa; vertical-align:top; color:#000;" |
is built on four main categories:
{| id="trails" style="width:100%; vertical-align:top; background:#fff5fa;"
! style="padding:2px;" | <h2 style="margin:3px; background:#ffe6f2; font-size:120%; font-weight:bold; border:1px solid #bfa3b1; text-align:left; color:#000; padding:0.2em 0.4em;">Tutorials</h2>
|-
| style="color:#000; padding:2px 5px" |
<div>
[[Tutorials|Tutorials guide you through '''common usage scenarios''']]; they are probably the easiest way to learn about visone
</div>
|}


* [[Trails]] guide through common usage scenarios; they are probably the easiest way to learn visone
|-
* [[GUI|Graphical User Interface]] description provides a quick reference on what which components do
| style="border:1px solid transparent;" |
* [[Concepts|Algorithms, Methods, Concepts]] underlying the implementation are explained in detail separately
|-
* [[Applications|Data sets and research applications]] provide additional guidance future applications can build on
 
| style="border:1px solid #cef2e0; background:#f5fffa; vertical-align:top; color:#000;" |
{| id="trails" style="width:100%; vertical-align:top; background:#f5fffa;"
! style="padding:2px;" | <h2 style="margin:3px; background:#cef2e0; font-size:120%; font-weight:bold; border:1px solid #a3bfb1; text-align:left; color:#000;
padding:0.2em 0.4em;">Reference Guide</h2>
|-
| style="color:#000; padding:2px 5px;" |
<div>
Complementarily, a '''quick reference guide''' is describing
* [[GUI|Graphical User Interface]] components and their functionalities and
* [[Concepts|Algorithms, Methods, Concepts]] underlying the implementation
</div>
|}
 
|-
| style="border:1px solid transparent;" |
|-
 
| style="border:1px solid #cedff2; background:#f5faff; vertical-align:top; color:#000;"|
{| id="application" style="width:100%; vertical-align:top; background:#f5faff; color:#000; width:100%"
! style="padding:2px;" | <h2 style="margin:3px; background:#cedff2; font-size:120%; font-weight:bold; border:1px solid #a3b0bf; text-align:left; color:#000; padding:0.2em 0.4em">Data and Examples</h2>
|-
| style="color:#000; padding:2px 5px 5px;" |
<div>
[[Applications|Data sets and research applications]] provide additional guidance future applications can build on
</div>
|}
 
|-
| style="border:1px solid transparent;" |
|-
 
| style="border:1px solid #f0f0e0; background:#fafae0; vertical-align:top; color:#000;" |
{| id="faq" style="width:100%; vertical-align:top; background:#fafae0;"
! style="padding:2px;" | <h2 style="margin:3px; background:#eaead0; font-size:120%; font-weight:bold; border:1px solid #a3bfb1; text-align:left; color:#000;
padding:0.2em 0.4em;">Quick Help</h2>
|-
| style="color:#000; padding:2px 5px;" |
<div>
In addition we collect some question we received frequently in our [[FAQ|Frequently Asked Questions]] section
</div>
|}
|}

Latest revision as of 12:50, 21 June 2015

visone (ital.: mink; visual social networks) 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.

Tutorials

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

Reference Guide

Complementarily, a quick reference guide is describing

Data and Examples

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

Quick Help

In addition we collect some question we received frequently in our Frequently Asked Questions section