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Lun 10 Mar
Seminari e Convegni

Spreading Processes on Networks 

Spreading of innovations and epidemics is a classical problem. Traditionally, they have been analyzed using compartmental models (Bass, SI, …), which implicitly assume that all the individuals are homogeneous and connected to each other. To relax these assumptions, research has gradually shifted to the more fundamental network models, which are particle models for the stochastic adoption/infection by each individual.
In this talk professor Gadi Fibich will present an emerging mathematical theory for the Bass and SI models on networks. He will present analytic tools that enable us to obtain explicit expressions for the expected adoption/infection level on various networks (complete, circular, d-regular, Erdos-Renyi, …), without employing mean-field type approximations.

The main focus of the talk "Spreading Processes on Networks" will be on the effect of network structure.
For example, which networks yield the slowest and fastest spreading? What is the effect of boundaries? Of heterogeneity among individuals? How does the network structure influence the optimal promotional strategy?
The event will take place at 3,30 pm in Sala Maxwell on March 10.

Speaker: Gadi Fibich - Tel Aviv University

Biography
Gadi Fibich is a Professor of Applied Mathematics at Tel Aviv University, Israel. He received the B.Sc. degree (Summa Cum Laude) and the M.Sc. degree in Applied Mathematics from the Technion, Israel, and the Ph.D. degree from the Courant Institute at New York University, USA. His academic career includes positions at UCLA and Tel Aviv University, where he has served as a lecturer, senior lecturer, and associate professor before becoming a full professor in 2007. Between 2014 and 2016, he was a Visiting Professor with the University of Maryland, USA. From 2017 to 2021, he chaired the School of Mathematical Sciences at Tel Aviv University. His research interests span mathematical modeling, the spread of innovations and epidemics on networks, nonlinear optics, nonlinear pricing, and auction theory.