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This is a Quantitative Study study.

October 3, 2025Open Access

Nonreciprocal random networks and their percolation properties

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Nonreciprocal random networks exhibit different percolation behaviors compared to reciprocal networks, demonstrating unique structural influences.
Investigations highlight that network structure significantly impacts the giant component's formation and percolation properties in these networks.
A new analytical approach is developed, utilizing self-consistent equations to understand percolation in both structured and unstructured networks.
Simulation results validate analytic predictions, confirming the model's robustness and its application to varying network types.

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Analysis reveals how nonreciprocal link probabilities affect percolation in network structures, indicating important implications for network theory.

Chanania Steinbock (2025) studied this question.

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Analysis reveals how nonreciprocal link probabilities affect percolation in network structures, indicating important implications for network theory.