Demos#
To get a better idea how to use delaynet in your code and research,
see the following notebooks which integrate the package’s features.
SBB functional network (Aug 2025)
Real-world functional delay network from Swiss long-distance trains (top 50 stations). Detrending, reconstruction (GC), pruning, and analysis with maps.
Network reconstruction & metrics
Best-lag selection and p-value landscapes on SynthATDelays random connectivity (LC/RC/GC/MI/TE/COP).
Ground-truth synthetic coupling
Simple controlled-lag experiment (ts2 = a · ts1(t-τ) + noise). Compare LC/RC/GC/MI/TE/COP.
Rolling-window topology
Evolving metrics on a stable generator with a regime change; GC reconstruction + FDR.
BTS air-transport demo
Small public dataset example: hourly airport delays → GC/COP networks + metrics.