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Code to generate connected random networks by MCMC methods.
Python
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CGG_example.pdf initial commit Apr 20, 2018
ConnectedGraphGen.py initial commit Apr 20, 2018
CreateWaxman.py connected graph example Apr 20, 2018
README.md udpate readme Mar 22, 2019
waxman_Gs.dat connected graph example Apr 20, 2018

README.md

ConnectedGraphGen

Code to generate connected random networks by MCMC methods.

Python code for generation of connected random graphs, specifically Spatially Embedded Random Networks (SERNs), such as the Waxman random graph. The algorithm uses MCMC methods to sample from the distribution of interested conditioned on connectivity. See [1]

Contents

The scripts are: ConnectedGraphGen.py: Source python function for connected graph algorithm. CreateWaxman.py: Example of generating connected Waxman networks using the parameterisation in [2]

[1] C. Gray, L. Mitchell, M. Roughan, "Generating Connected Networks", Journal of Complex Networks, , cnz011, https://doi.org/10.1093/comnet/cnz011

[2] M. Roughan, J. Tuke, and E. Parsonage, “Estimating the parameters of the Waxman random graph,” (2015), arXiv preprint: 1506.07974. 


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