Added TemporalPercolation implementation to pathpyG #251
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This PR adds the
TemporalPercolation
implementation to pathpyG.Key Features:
Temporal Graph Processing: Constructs event graphs from temporal edge lists using pathpyG.
Connected Components Analysis: Identifies connected components in event graphs using pathpyG's built-in algorithms.
Percolation Metrics Computation: Computes event-graph node sizes, underlying graph nodes, and component lifetimes.
Critical Threshold Detection: Determines percolation phase transitions.
Data Visualization: Generates plots for component measures, percolation metrics, and probability distributions.
Changes in this PR:
S_E
,S_G
,S_LT
).Please review and let me know if any modifications are needed.