Methods: Network measures

[clbarnes]

Network measures. All analyses were based on unweighted hermaphrodite C. elegans networks

Chris: could you add something about the network measures you used?

[clbarnes]

All analyses were based on unweighted hermaphrodite C. elegans networks. Null model networks for each layer were generated by performing 10 random double edge swaps per edge of the network. Null model aggregate networks were generated by combining randomised layers and binarising the result.

Density is the directed density of the network Degree is the out-degree of the directed network Characteristic path length is as generated by BCTPY Global efficiency is as generated by BCTPY Mean nodewise clustering coefficient is the mean of nodewise clustering coefficients generated by BCTPY Weighted mean nodewise clustering coefficient is the above weighted by the summed in and out degree of each node Nodewise clustering coefficient is as generated by BCTPY Maximum modularity is as generated by BCTPY with default parameters Assortativity is as generated by BCTPY using out-out degree correlation Mean betweenness centrality is the mean of nodewise values generated by BCTPY Betweenness centrality is as generated by BCTPY Small world coefficient is \frac{\frac{real_clustering}{mean(random_clusterings)}}{\frac{real_pathlength}{mean(random_pathlengths)}} [citation?] for 100 null networks generated as above

*delete as appropriate