[ABE-L] Seminários PIPGEs UFSCar/USP

[Michel H. Montoril]

Caros,

Gostaríamos de convidar a todos para o próximo seminário conjunto
UFSCar/ICMC-USP, que ocorrerá no dia *30/09*, *às 14h*. Seguem informações
abaixo.

Saudações,
Michel

*Scheduled for:*
Sep 30, 2022, at 2:00 pm
(GMT-03:00) Brasilia Standard Time - Sao Paulo

*Video call link HERE <https://meet.google.com/nue-rwvb-vwh>.*

*Speaker:*
Thomas Peron (ICMC-USP)

*Title:*
Network processes on clique-networks with high average degree: the limited
effect of higher-order structure

*Abstract:*
In this talk we will investigate the effect of local structures on network
processes. In particular, we consider a random graph model that
incorporates local clique structures and thus deviates from the locally
tree-like behavior of most standard random graph models. For the process of
bond percolation, we derive analytical approximations for large percolation
probabilities and the critical percolation value. Interestingly, these
derivations show that when the average degree of a vertex is large, the
influence of the deviations from the locally tree-like structure is small.
In our simulations, this insensitivity to local clique structures often
already kicks in for networks with average degrees as low as 6.
Furthermore, we show that the different behavior of bond percolation on
clustered networks compared to tree-like networks that was found in
previous works can be almost completely attributed to differences in degree
sequences rather than to differences in clustering structures. We finally
show that these results also extend to completely different types of
dynamics by deriving similar conclusions and simulations for coupled
oscillators on the same types of clustered and non-clustered networks.


*Bio:*
Graduação em física computacional (2010) pelo IFSC/USP, e mestrado (2013) e
doutorado (2017) em física aplicada também pelo IFSC/USP, com um ano de
estágio no Potsdam Institute for Climate Impact Research, na Alemanha,
durante o doutorado. Pós-doutorado no ICMC/USP e no Instituto de
Biocomputação e Física de Sistemas Complexos da Universidade de Zaragoza,
Espanha. Desde Junho de 2022, professor doutor no ICMC/USP. Sua pesquisa se
insere na área de sistemas complexos, concentrando-se mais especificamente
no estudo de dinâmicas não-lineares em grafos, aplicações de teoria de
matrizes aleatórias a problemas de redes complexas, e análise e
visualização de dados.

===============================
/* Michel H. Montoril,
 * Assistant Professor,
 * Department of Statistics,
 * Federal University of São Carlos,
 * São Carlos, SP, 13565-905, Brazil
 */
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