Multilayer networks: structure, dynamics and applications

Abstract

Complex networks represent the structure of complex systems, from biological interactions to social contacts. The study of these networks has growth in importance during the last years and has allowed to model the organization and dynamics of several systems. However, recently, the traditional network analysis was generalized to consider the multilayer organization, which are composed by interconnected networks. This modeling has been applied in the investigation of several dynamical processes taking place on the top of networks, such as epidemic spreading and synchronization. In this project, we aim to explore the analysis of synchronization and epidemic spreading in multilayer networks, as well as World Trade network data. These works are developed in collaboration between the Institute for Biocomputation and Physics of Complex Systems (at Universidad de Zaragoza) and the Complex Systems group (at the Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo - ICMC-USP). In this project, we describe the main activities to be executed during the visit of prof. Yamir Moreno to ICMC-USP, which will be fundamental to reinforce our collaboration and discuss new possible works. (AU)