221 citations · 562 across the 6 of their papers we have counts for
7 papers
Interests Diffusion on a Semantic Multiplex
Gregorio D'Agostino, Antonio De Nicola
Exploiting the information about members of a Social Network (SN) represents one of the most attractive and dwelling subjects for both academic and applied scientists. The communit…
Cascades in interdependent flow networks
Antonio Scala, Pier Giorgio De Sanctis Lucentini, Guido Caldarelli +1
We investigate the abrupt breakdown behavior of coupled distribution grids under load growth. This scenario mimics the ever-increasing customer demand and the foreseen introduction…
Interests Diffusion in Social Networks
Gregorio D'Agostino, Fulvio D'Antonio, Antonio De Nicola +1
Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities bot…
On Synchronization of Interdependent Networks
J. Martin-Hernandez, H. Wang, P. Van Mieghem +1
It is well-known that the synchronization of diffusively-coupled systems on networks strongly depends on the network topology. In particular, the so-called algebraic connectivity $…
Effect of the Interconnected Network Structure on the Epidemic Threshold
Huijuan Wang, Qian Li, Gregorio D'Agostino +3
Most real-world networks are not isolated. In order to function fully, they are interconnected with other networks, and this interconnection influences their dynamic processes. For…
Assortativity Decreases the Robustness of Interdependent Networks
Di Zhou, Gregorio D'Agostino, Antonio Scala +1
It was recently recognized that interdependencies among different networks can play a crucial role in triggering cascading failures and hence system-wide disasters. A recent model…
Robustness and Assortativity for Diffusion-like Processes in Scale-free Networks
Gregorio D'Agostino, Antonio Scala, Vinko Zlatić +1
By analysing the diffusive dynamics of epidemics and of distress in complex networks, we study the effect of the assortativity on the robustness of the networks. We first determine…