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For the comparison, we use macroscopic features such as distributions of degrees, path lengths, local clustering coefficients and sizes of the disconnected components.
The model is then validated by its ability to reproduce network features not used for calibration, including distributions of degrees, path lengths, local clustering coefficients and sizes of disconnected components.
Structural analyses have utilized a wide spectrum of graph theoretic measures [5], [6] including clustering coefficients and the distributions of node degrees, path lengths and structural motifs.
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