A heterogeneous maximum-entropy framework for temporal networks, mapped to a 1D Ising model, disentangles structural heterogeneity from memory effects and selects the appropriate level of memory parametrization.
Persistence and periodicity in a dynamic proximity network, arXiv 12117343 (2012)
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Temporal networks with node-specific memory: unbiased inference of transition probabilities, relaxation times and structural breaks
A heterogeneous maximum-entropy framework for temporal networks, mapped to a 1D Ising model, disentangles structural heterogeneity from memory effects and selects the appropriate level of memory parametrization.