180 citations · 270 across the 9 of their papers we have counts for
9 papers
Emergent contagion complexity: Disentangling mechanistic complexity from correlated heterogeneity
Katerina Tang, Daniel Kaiser, William Thompson +3
Simple and complex contagions differ mechanistically; multiple exposures act synergistically in the latter but independently in the former. Yet correlated mixtures of simple contag…
A theoretical framework for reservoir computing on networks of organic electrochemical transistors
Nicholas W. Landry, Beckett R. Hyde, Jake C. Perez +2
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 ne…
Reconstructing networks from simple and complex contagions
Nicholas W. Landry, William Thompson, Laurent Hébert-Dufresne +1
Network scientists often use complex dynamic processes to describe network contagions, but tools for fitting contagion models typically assume simple dynamics. Here, we address thi…
The simpliciality of higher-order networks
Nicholas W. Landry, Jean-Gabriel Young, Nicole Eikmeier
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 high…
Filtering higher-order datasets
Nicholas W. Landry, Ilya Amburg, Mirah Shi +1
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…
Opinion disparity in hypergraphs with community structure
Nicholas W. Landry, Juan G. Restrepo
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…
On limitations of uniplex networks for modeling multiplex contagion
Nicholas W. Landry, jimi adams
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 mode…
Hypergraph assortativity: a dynamical systems perspective
Nicholas W. Landry, Juan G. Restrepo
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 hypergr…
The effect of heterogeneity on hypergraph contagion models
Nicholas Landry, Juan G. Restrepo
The dynamics of network social contagion processes such as opinion formation and epidemic spreading are often mediated by interactions between multiple nodes. Previous results have…