Vito Latora

TL;DR: This work introduces the concept of flow graphs, namely weighted networks where dynamical flows are embedded into the link weights, and focuses on the mathematical properties of generic linear processes on complex networks that can be represented as biased random walks and their dual consensus dynamics.

TL;DR: In this paper, the effect of motion on disease spreading in a system of random walkers which additionally perform long-distance jumps was studied, and it was shown that a small percentage of jumps in the agent motion is sufficient to destroy the local correlations and to produce a large drop in the epidemic threshold, that was explained in terms of a mean-field approximation.

TL;DR: An analytical relation is derived between the degree correlation exponent ν and the optimal bias value α(min), which works well for real-world assortative networks.

TL;DR: This article proposes to model an urban system by means of different hybrid social–physical complex networks, obtained by enriching the urban street network with additional information about the social and physical constituents of a city, and introduces a class of efficiency measures inspired by the definition of global efficiency given in complex network theory.

TL;DR: This work proposes a new model of opinion formation, the Opinion Changing Rate (OCR), a modified version of the Kuramoto model, one of the simplest models for synchronization in biological systems, adapted here to a social context.