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We present a software package based on a new probabilistic model for random graphs called MixNet (Erdos-Renyi Mixture for Networks). This model is based on the hypothesis that real networks are made of classes which show specific connectivity patterns. We compute algorithms to estimate the model's parameters as well as a statistical criterion ICL to select the number of classes
5 lines
381 B
Text
5 lines
381 B
Text
We present a software package based on a new probabilistic model for random
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graphs called MixNet (Erdos-Renyi Mixture for Networks). This model is based on
|
|
the hypothesis that real networks are made of classes which show specific
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|
connectivity patterns. We compute algorithms to estimate the model's parameters
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as well as a statistical criterion ICL to select the number of classes
|