activity
20122020
most citedImmunization Strategies in Networks with Missing Data

29 citations · 34 across the 3 of their papers we have counts for

collaborators

8 papers

physics.soc-ph2020

Network comparison and the within-ensemble graph distance

Harrison Hartle, Brennan Klein, Stefan McCabe +4

Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem…

q-bio.PE2020

The unintended consequences of inconsistent pandemic control policies

Benjamin M. Althouse, Brendan Wallace, Brendan Case +4

Controlling the spread of COVID-19 - even after a licensed vaccine is available - requires the effective use of non-pharmaceutical interventions: physical distancing, limits on gro…

cs.CY20205 cited

Countering hate on social media: Large scale classification of hate and counter speech

Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2

Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence. A potential solution to this growing global pro…

physics.soc-ph202029 cited

Immunization Strategies in Networks with Missing Data

Samuel F. Rosenblatt, Jeffrey A. Smith, G. Robin Gauthier +1

Network-based intervention strategies can be effective and cost-efficient approaches to curtailing harmful contagions in myriad settings. As studied, these strategies are often imp…

physics.soc-ph2020

Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks

Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2

Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gathe…

physics.soc-ph2018

Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm

Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne +1

Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network s…