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Allow configuration models to specify a minimum discrepancy between the sampled (di)graphical sequence(s) and the provided distribution #62

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ClaudMor opened this issue Jan 4, 2023 · 0 comments
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enhancement New feature or request.

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ClaudMor commented Jan 4, 2023

Since the current algorithms, in order to sample a graphical sequence, may very well select a degree sequence that "has little to do" with the provided distribution, it should be useful to come up with a metric that accounts for such discrepancy and to give the user the possibility to specify a lower bound for such metric.

@ClaudMor ClaudMor added the enhancement New feature or request. label Jan 4, 2023
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