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pro vyhledávání: '"Landry, Nicholas W."'
Efficient and accurate prediction of physical systems is important even when the rules of those systems cannot be easily learned. Reservoir computing, a type of recurrent neural network with fixed nonlinear units, is one such prediction method and is
Externí odkaz:
http://arxiv.org/abs/2408.09223
Autor:
Hébert-Dufresne, Laurent, Kling, Matthew M., Rosenblatt, Samuel F., Miller, Stephanie N., Burnham, P. Alexander, Landry, Nicholas W., Gotelli, Nicholas J., McGill, Brian J.
Stochastic diffusion is the noisy and uncertain process through which dynamics like epidemics, or agents like animal species, disperse over a larger area. Understanding these processes is becoming increasingly important as we attempt to better prepar
Externí odkaz:
http://arxiv.org/abs/2408.07755
Publikováno v:
Phys. Rev. E 110, L042301 (2024)
Network scientists often use complex dynamic processes to describe network contagions, but tools for fitting contagion models typically assume simple dynamics. Here, we address this gap by developing a nonparametric method to reconstruct a network an
Externí odkaz:
http://arxiv.org/abs/2405.00129
Publikováno v:
EPJ Data Sci. 13, 17 (2024)
Higher-order networks are widely used to describe complex systems in which interactions can involve more than two entities at once. In this paper, we focus on inclusion within higher-order networks, referring to situations where specific entities par
Externí odkaz:
http://arxiv.org/abs/2308.13918
Many complex systems often contain interactions between more than two nodes, known as higher-order interactions, which can change the structure of these systems in significant ways. Researchers often assume that all interactions paint a consistent pi
Externí odkaz:
http://arxiv.org/abs/2305.06910
Autor:
Landry, Nicholas W., Restrepo, Juan G.
The division of a social group into subgroups with opposing opinions, which we refer to as opinion disparity, is a prevalent phenomenon in society. This phenomenon has been modeled by including mechanisms such as opinion homophily, bounded confidence
Externí odkaz:
http://arxiv.org/abs/2302.13967
Autor:
Landry, Nicholas W., adams, jimi
Many network contagion processes are inherently multiplex in nature, yet are often reduced to processes on uniplex networks in analytic practice. We therefore examine how data modeling choices can affect the predictions of contagion processes. We dem
Externí odkaz:
http://arxiv.org/abs/2204.12348
Autor:
Landry, Nicholas W., Restrepo, Juan G.
Publikováno v:
Chaos 32, 053113 (2022)
The largest eigenvalue of the matrix describing a network's contact structure is often important in predicting the behavior of dynamical processes. We extend this notion to hypergraphs and motivate the importance of an analogous eigenvalue, the expan
Externí odkaz:
http://arxiv.org/abs/2109.01099
Akademický článek
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Autor:
Landry, Nicholas W.1,2,3 (AUTHOR), adams, jimi4,5 (AUTHOR) jimi.adams@ucdenver.edu
Publikováno v:
PLoS ONE. 1/20/2023, Vol. 17 Issue 1, p1-11. 11p.
