activity
20202025
most citedLyapunov Exponents for Temporal Networks

16 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.PE2025

Time-varying ecological interactions characterise equilibrium and stability

Annalisa Caligiuri, Emile Emery, Leonardo Ferreira +8

Ecological communities are composed of species interactions that respond to environmental fluctuations. Despite increasing evidence of temporal variation in these interactions, mos…

q-bio.NC2025

Predictability of temporal network dynamics in normal ageing and brain pathology

Annalisa Caligiuri, David Papo, Görsev Yener +4

Spontaneous brain activity generically displays transient spatiotemporal coherent structures, which can selectively be affected in various neurological and psychiatric pathologies.…

physics.soc-ph2024★ 1 cited

Characterising the dynamics of unlabelled temporal networks

Annalisa Caligiuri, Tobias Galla, Lucas Lacasa

Networks model the architecture backbone of complex systems. The backbone itself can change over time leading to what is called `temporal networks'. Interpreting temporal networks…

physics.soc-ph2023

Noisy voter models in switching environments

Annalisa Caligiuri, Tobias Galla

We study the stationary states of variants of the noisy voter model, subject to fluctuating parameters or external environments. Specifically, we consider scenarios in which the he…

physics.data-an2023★ 16 cited

Lyapunov Exponents for Temporal Networks

Annalisa Caligiuri, Victor M. Eguiluz, Leonardo di Gaetano +2

By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a meas…

cond-mat.stat-mech2020★ 3 cited

Degree-Ordered-Percolation on uncorrelated networks

Annalisa Caligiuri, Claudio Castellano

We analyze the properties of Degree-Ordered Percolation (DOP), a model in which the nodes of a network are occupied in degree-descending order. This rule is the opposite of the muc…