Generating synthetic social networks?

I have come across a number of social network analysis tools but I was wondering if there are any libraries that let you generate synthetic social networks like the Watts and Strogatz model or the Barabási-Albert Scale-Free networks or a network dependent on the Caveman model. Whatever I have come across are either pure algorithms or implementations in Fortran which is not really my language of expertise.

What I am currently looking for is a way to set the properties of the social network and be able to generate a synthetic network (adjacency list perhaps) for further analysis. Does anyone have any suggestions?

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Python的networkx软件包有许多随机图形生成方法。

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igraph supports the network models you mention. It has C, Python and R wrappers. If you want to develop more sophisticated / realistic social networks you could specify an ergm model and simulate from it using the statnet R packages.

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