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There's are ways of sampling random graphs resembling real-life social networks. Is there anything for generating realistic probability networks? By "realistic" I mean similar to models used in real-life tasks |
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I recently wrote this to generate probabilistic state machines. It was basically just a quick solution for generating artificial test data, but you might be able to tweak it to fit your needs. By real world world social network do you mean scale-free? I'm actually interested in graphical models rather than social networks. Just wondering what properties I need from the graph probability distribution to make the resulting networks realistic
(Dec 02 '10 at 05:24)
Yaroslav Bulatov
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