Centre de Physique Théorique


Wednesday 30 October 2019

16h00 – 17h00, Amphi 5 du CPT

Modeling the social dynamics of contagion and innovation using dynamical processes on complex topologies

Iacopo Iacopini (Queen Mary University of London)

The study of dynamical processes on complex networks is a well-established branch of complex systems science that aims at understanding the complex interplay between the dynamics of the process and the topology of the underlying network. In this talk, I will present two different models of social dynamics that make use of this particular interplay for modeling processes of social contagion and processes of innovation.

I will start by considering individuals and their -group- interactions as a structure for the propagation of ideas and behaviors. With this in mind, I will present a model of simplicial social contagion [1], showing how the inclusion of these high-order group interactions can alter the spreading dynamics and lead to the emergence of new phenomena. In the second part of the talk, I will consider the relationships between the ideas/concepts and shift the attention to their discovery dynamics from the point of view of the individuals. I will finally reproduce the empirically observed dynamics of correlated novelties by using a model of edge-reinforced random walks on a network of links among ideas and concepts [2].

[1] I. Iacopini, G. Petri, A. Barrat, and V. Latora, “Simplicial models of social contagion,” Nat. Commun. 10, 2485 (2019)
[2] I. Iacopini, S. Milojević, and V. Latora, “Network dynamics of innovation processes,” Phys. Rev. Lett. 120, 048301 (2018)