I’ve been programming in Python for about 6 months to create a dynamic network simulation.  It started as a test of my abilities using a genetic algorithm problem from An Introduction to Genetic Algorithms, by Melanie Mitchell.  I’m now adding the NK-landscape (Kauffman) model as a stochastic fitness function to look at organizational and individual network evolution.  This will be my job-market paper.  Thanks to Bill McEvily for keeping the project on track, and to Mike Ryall for his gentle guidance.  The whole thing is now running on Amazon Web Services using Ubuntu 13.04.  I’ve had to move up to the extra-large memory-intensive clusters to lower the computing time.