to do:

• speed up calculation (✔)
• find suitable grow function for beta
• visualize ✔

Stuff here is based on the lecture of Joerg Reichardt: http://www.physik.uni-wuerzburg.de/?id=2206

Code is released under the GNU GPL, see included <gpl.tex> or http://www.gnu.org/licenses/gpl.html.

• python and networkx
• some files require pydot for plotting, easiest as following:
  • sudo apt-get install python-setuptools
  • sudo easy_install pydot

==============================================================

• Excercise 1:
  • cluster
• Excercise 2:
  • Exploring network behaviour under random/specific node removal
• Excercise 3:
  • Exploring the state space and attractors of boolean networks (see Stuart Kauffman)
• Excercise 4:
  • Visualization of correlations in a given network