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