Derives a closed-form expression unifying latent hyperbolic geometry and long-range memory to predict next-step connection probabilities in real temporal networks with quantitative empirical agreement.
For the Φ = 0 branch, we retain all effective-distance bins at each time step and apply filtering across time as de- scribed earlier
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physics.soc-ph 1years
2026 1verdicts
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Temporal connection probabilities in real networks
Derives a closed-form expression unifying latent hyperbolic geometry and long-range memory to predict next-step connection probabilities in real temporal networks with quantitative empirical agreement.