37 citations · 106 across the 6 of their papers we have counts for
7 papers
Multilayer Network Science: from Cells to Societies
Oriol Artime, Barbara Benigni, Giulia Bertagnolli +5
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of…
Efficient network exploration by means of resetting self-avoiding random walkers
Gaia Colombani, Giulia Bertagnolli, Oriol Artime
The self-avoiding random walk (SARW) is a stochastic process whose state variable avoids returning to previously visited states. This non-Markovian feature has turned SARWs a power…
Dismantling the information flow in complex interconnected systems
Arsham Ghavasieh, Giulia Bertagnolli, Manlio De Domenico
Microscopic structural damage, such as lesions in neural systems or disruptions in urban transportation networks, can impair the dynamics crucial for systems' functionality, such a…
Diffusion geometry of multiplex and interdependent systems
Giulia Bertagnolli, Manlio De Domenico
Complex networks are characterized by latent geometries induced by their topology or by the dynamics on the top of them. In the latter case, different network-driven processes indu…
Quantifying efficient information exchange in real network flows
Giulia Bertagnolli, Riccardo Gallotti, Manlio De Domenico
Network science enables the effective analysis of real interconnected systems, characterized by a complex interplay between topology and interconnections strength. It is well-known…
Unraveling the hidden organisation of urban systems and their mobility flows
Riccardo Gallotti, Giulia Bertagnolli, Manlio De Domenico
Increasing evidence suggests that cities are complex systems, with structural and dynamical features responsible for a broad spectrum of emerging phenomena. Here we use a unique da…
Network depth: identifying median and contours in complex networks
Giulia Bertagnolli, Claudio Agostinelli, Manlio De Domenico
Centrality descriptors are widely used to rank nodes according to specific concept(s) of importance. Despite the large number of centrality measures available nowadays, it is still…