5 papers
Defining and classifying models of groups: The social ontology of higher-order networks
Jonathan St-Onge, Randall Harp, Giulio Burgio +3
In complex systems research, the study of higher-order interactions has exploded in recent years. Researchers have formalized various types of group interactions, such as public go…
Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality
Laurent Hébert-Dufresne, Juniper Lovato, Giulio Burgio +3
Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain i…
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…
Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions
Mariah C. Boudreau, William H. W. Thompson, Christopher M. Danforth +2
Epidemic forecasting tools embrace the stochasticity and heterogeneity of disease spread to predict the growth and size of outbreaks. Conceptually, stochasticity and heterogeneity…
Governance as a complex, networked, democratic, satisfiability problem
Laurent Hébert-Dufresne, Nicholas W. Landry, Juniper Lovato +6
Democratic governments comprise a subset of a population whose goal is to produce coherent decisions, solving societal challenges while respecting the will of the people. New gover…