JuliaGraphs / JuliaGraphs/MultilayerGraphs.jl
Allow configuration models to specify a minimum discrepancy between the sampled (di)graphical sequence(s) and the provided distribution
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@ClaudMor is already working on this.
Since Jan 4, 2023.
enhancement
- Dominant language
- Julia
- Stars
- 133
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
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.
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