49 citations · 128 across the 18 of their papers we have counts for
18 papers
When is Enough Enough? A Proposed Termination Point for the Number of Replicates in Computational Simulations
Eric T. Lofgren, Kellen Myers, Nina H. Fefferman
Computational simulation provides a powerful toolkit for in silico experimentation. However, while the field has developed best practices for the design and implementation of such…
Targeted Disruption of Hypernetworks via Spectral Partitioning
Mark M. Bailey, Matthew J. Hasenjager, Nina H. Fefferman
We study hyperedge-removal strategies for suppressing contagion on synthetic hypergraphs. Hypergraphs are generated from Erdős--Rényi, Barabási--Albert, and Watts--Strogatz seed gr…
Classification of dynamics for a two person model of planned behavior
Rishi Dadlani, John S. McAlister, Tahra L. Eissa +1
We study a dynamical system modeling the Theory of Planned Behavior (TPB) in which each individual's behavioral intention evolves continuously under an ODE driven by internal attit…
Nonlinear Nonlocal Diffusion Equations for the Analysis of Continuous Coordination and Anti-Coordination Type Games
John S. McAlister, Nina H. Fefferman, Tadele A. Mengesha
Coordination games with explicit spatial or relational structure are of interest to economists, ecologists, sociologists, and others studying emergent global properties in collecti…
A Game Theoretic Treatment of Contagion in Trade Networks
John S. McAlister, Jesse L. Brunner, Danielle J. Galvin +1
Global trade of material goods involves the potential to create pathways for the spread of infectious pathogens. One trade sector in which this synergy is clearly critical is that…
Planned behavior, perceptual biases, and the dynamics of collective action
Alice C Schwarze, Mari Kawakatsu, Sarah Iams +2
Many classical models of collective behavior assume that emergent dynamics result from external and observable interactions among individuals. However, how collective dynamics in h…
Insights into the Structured Coordination Game with Neutral Options through Simulation
John S. McAlister, Nina H. Fefferman
Coordination games have been of interest to game theorists, economists, and ecologists for many years to study such problems as the emergence of local conventions and the evolution…
An Interdisciplinary Perspective of the Built-Environment Microbiome
John S. McAlister, Michael J. Blum, Yana Bromberg +8
The built environment provides an excellent setting for interdisciplinary research on the dynamics of microbial communities. The system is simplified compared to many natural setti…
Assembling ensembling: An adventure in approaches across disciplines
Amanda Bleichrodt, Sadie J. Ryan, Lydia Bourouiba +4
When discussing model ensembling or ensemble modeling, a term arises across numerous disciplines, what is meant by it can vary drastically. The very meaning of 'ensemble' - a colle…
The Case for Controls: Identifying outbreak risk factors through case-control comparisons
Nina H. Fefferman, Michael J. Blum, Lydia Bourouiba +7
Investigations of infectious disease outbreaks often focus on identifying place- and context-dependent factors responsible for emergence and spread, resulting in phenomenological n…
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication
Iacopo Iacopini, Jennifer R Foote, Nina H Fefferman +2
Animal communication is frequently studied with conventional network representations that link pairs of individuals who interact, for example, through vocalisation. However, acoust…
Diversity in Valuing Social Contact and Risk Tolerance Lead to the Emergence of Homophily in Populations Facing Infectious Threats
Matthew J. Young, Matthew J. Silk, Alex J. Pritchard +1
How self-organization leads to the emergence of structure in social populations remains a fascinating and open question in the study of complex systems. One frequently observed str…
A guide to choosing and implementing reference models for social network analysis
Elizabeth A. Hobson, Matthew J. Silk, Nina H. Fefferman +4
Analyzing social networks is challenging. Key features of relational data require the use of non-standard statistical methods such as developing system-specific null, or reference,…
Leveraging Insight from Centuries of Outbreak Preparedness to Improve Modern Planning Efforts
Nina H. Fefferman, Sharon DeWitte, Stephanie S. Johnson +1
Though pandemic preparedness has been a focus of public health planning for centuries, during which our understanding of infectious disease dynamics has grown, our methodologies fo…
Propinquity drives the emergence of network structure and density
Lazaros K. Gallos, Shlomo Havlin, H. Eugene Stanley +1
The lack of large-scale, continuously evolving empirical data usually limits the study of networks to the analysis of snapshots in time. This approach has been used for verificatio…
Simple and efficient self-healing strategy for damaged complex networks
Lazaros K. Gallos, Nina H. Fefferman
The process of destroying a complex network through node removal has been the subject of extensive interest and research. Node loss typically leaves the network disintegrated into…
The Effect of Disease-induced Mortality on Structural Network Properties
Lazaros K. Gallos, Nina H. Fefferman
As the understanding of the importance of social contact networks in the spread of infectious diseases has increased, so has the interest in understanding the feedback process of t…
Revealing effective classifiers through network comparison
Lazaros K. Gallos, Nina H. Fefferman
The ability to compare complex systems can provide new insight into the fundamental nature of the processes captured in ways that are otherwise inaccessible to observation. Here, w…