Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Dubé, Louis J."'
Publikováno v:
Phys. Rev. Research 2, 043215 (2020)
Several complex systems can be modeled as large networks in which the state of the nodes continuously evolves through interactions among neighboring nodes, forming a high-dimensional nonlinear dynamical system. One of the main challenges of Network S
Externí odkaz:
http://arxiv.org/abs/2005.10922
Autor:
St-Onge, Guillaume, Thibeault, Vincent, Allard, Antoine, Dubé, Louis J., Hébert-Dufresne, Laurent
Publikováno v:
Phys. Rev. E 103, 032301 (2021)
Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gatherings such as workplaces, households, schools, and concerts, best desc
Externí odkaz:
http://arxiv.org/abs/2004.10203
Autor:
St-Onge, Guillaume, Thibeault, Vincent, Allard, Antoine, Dubé, Louis J., Hébert-Dufresne, Laurent
Publikováno v:
Phys. Rev. Lett. 126, 098301 (2021)
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most models lack the higher-order structure necessary to describe large gather
Externí odkaz:
http://arxiv.org/abs/2003.05924
Publikováno v:
Phys. Rev. B 104, 045201 (2021)
Experimental and theoretical studies of laser-induced breakdown in dielectrics provide conflicting conclusions about the possibility to trigger ionization avalanche on the sub-picosecond time scale and the relative importance of carrier-impact ioniza
Externí odkaz:
http://arxiv.org/abs/1906.08338
Publikováno v:
Phys. Rev. X 9, 011042 (2019)
Dynamical networks are powerful tools for modeling a broad range of complex systems, including financial markets, brains, and ecosystems. They encode how the basic elements (nodes) of these systems interact altogether (via links) and evolve (nodes' d
Externí odkaz:
http://arxiv.org/abs/1809.08285
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network science, we discuss how the structure of contacts affects the efficienc
Externí odkaz:
http://arxiv.org/abs/1808.05859
Publikováno v:
Phys. Rev. E 98, 032309 (2018)
Mesoscopic pattern extraction (MPE) is the problem of finding a partition of the nodes of a complex network that maximizes some objective function. Many well-known network inference problems fall in this category, including, for instance, community d
Externí odkaz:
http://arxiv.org/abs/1806.04214
Publikováno v:
Phys. Rev. E 97, 032302 (2018)
In binary cascade dynamics, the nodes of a graph are in one of two possible states (inactive, active), and nodes in the inactive state make an irreversible transition to the active state, as soon as their precursors satisfy a predetermined condition.
Externí odkaz:
http://arxiv.org/abs/1711.02721
Publikováno v:
Phys. Rev. E 97, 032309 (2018)
We present a general class of geometric network growth mechanisms by homogeneous attachment in which the links created at a given time $t$ are distributed homogeneously between a new node and the exising nodes selected uniformly. This is achieved by
Externí odkaz:
http://arxiv.org/abs/1710.01600
Publikováno v:
Phys. Rev. E 97, 022305 (2018)
We present a degree-based theoretical framework to study the susceptible-infected-susceptible (SIS) dynamics on time-varying (rewired) configuration model networks. Using this framework, we provide a detailed analysis of the stationary state that cov
Externí odkaz:
http://arxiv.org/abs/1709.09257