Higher-order models for social and epidemiological contagion
Nicholas Landry
TGIR Postdoctoral Fellow, University of Vermont
Past Talk
Hybrid talk
Wednesday
Jan 4, 2023
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11:00 am
177 Huntington Ave, Room 207
177 Huntington Ave, Room 207
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177 Huntington Ave, Room 207
177 Huntington Ave,
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In contrast to the assumption that social interactions only involve two individuals when modeling complex systems, larger interactions often occur in empirical settings. The collection of these group interactions form a higher-order interaction network, also known as a hypergraph. Dynamics on these higher-order networks can produce rich behavior, even for very simple models of contagion. We present two different contagion models: one representing social contagion and the other describing epidemiological contagion. For the social contagion model, we focus on the interplay between higher-order structure and the resulting contagion dynamics of a hypergraph SIS model; in particular, we describe how degree heterogeneity and community structure can affect the onset and existence of tipping-point behavior and polarization. For the epidemiological model, we describe a reality-inspired model of environmentally-mediated contagion and present a method to infer network structure and epidemiological parameters from time-series data. We discuss initial work and challenges applying this model to transmission of C. diff in a hospital setting.

About the speaker
About the speaker
Nicholas Landry is the TGIR Postdoctoral Research Fellow at the University of Vermont working in collaboration with the Vermont Complex Systems Center and the UVM Medical Center. His research focuses on how group interactions affect the dynamics of contagion spread, the structure of higher-order social systems, and open-source software. Prior to his position at UVM, he completed a PhD in Applied Mathematics at the University of Colorado Boulder. Nicholas also obtained a BS in mechanical engineering at the University of New Hampshire and worked as an engineer at a manufacturing company in Seacoast New Hampshire.
Nicholas Landry is the TGIR Postdoctoral Research Fellow at the University of Vermont working in collaboration with the Vermont Complex Systems Center and the UVM Medical Center. His research focuses on how group interactions affect the dynamics of contagion spread, the structure of higher-order social systems, and open-source software. Prior to his position at UVM, he completed a PhD in Applied Mathematics at the University of Colorado Boulder. Nicholas also obtained a BS in mechanical engineering at the University of New Hampshire and worked as an engineer at a manufacturing company in Seacoast New Hampshire.