19 citations · 24 across the 3 of their papers we have counts for
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physics.soc-ph2024★ 2 cited
Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks
Giulio Virginio Clemente, Diego Garlaschelli
Temporal Networks, and more specifically, Markovian Temporal Networks, present a unique challenge regarding the community discovery task. The inherent dynamism of these systems req…
physics.soc-ph2023★ 3 cited
Temporal networks with node-specific memory: unbiased inference of transition probabilities, relaxation times and structural breaks
Giulio Virginio Clemente, Claudio J. Tessone, Diego Garlaschelli
One of the main challenges in the study of time-varying networks is the interplay of memory effects with structural heterogeneity. In particular, different nodes and dyads can have…