This folder contains the (platform-independent) python code to produce the Gillespie simulations found in Silk H, Homer M and Gross T, 'Design of self-organising networks'. 

constant_processes.py is used for Sec. 3, Fig.1

Folder degree_k is for Sec. 4:
- powerlaw.py refers to Fig. 2
- bimodal.py refers to Fig. 3
- the folder also contains some supporting files which must be included in order for the above to run

Folder binary is for Sec 5:
- binary.py refers to Fig. 4
- binary_degreek.py refers to Fig 5
- the folder also contains some supporting files which must be included in order for the above to run

The code was developed in python 2.7, using the following libraries:
- collections
- datetime
- matplotlib==1.3.1
- networkx==1.11
- numpy==1.8
- random
- scipy==0.13
- sortedcontainers==1.5.3