Spectral goodness of fit for network models

@article{Shore2015SpectralGO,
  title={Spectral goodness of fit for network models},
  author={Jesse Shore and Benjamin Lubin},
  journal={Social Networks},
  year={2015},
  volume={43},
  pages={16-27}
}
We introduce a new statistic, ’spectral goodness of fit’ (SGOF) to measure how well a network model explains the structure of an observed network. SGOF provides an absolute measure of fit, analogous to the standard R2 in linear regression. Additionally, as it takes advantage of the properties of the spectrum of the graph Laplacian, it is suitable for comparing network models of diverse functional forms, including both fitted statistical models and algorithmic generative models of networks… CONTINUE READING
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