Reproductive numbers and traveling fronts in models of protest dynamics with police management

Protests often spread through social networks and across cities, a phenomenon that can be modeled using reaction–diffusion systems. Building on the model in [10] , which links protest activity and social tension, we study an extended model that also includes police protest management strategies. We focus on traveling wave solutions and examine how protest activity, social tension, and police density interact to shape the spread of protests [36] . Assuming the existence of traveling fronts in parameter regimes where the system is not monotone, we derive stability conditions for these traveling fronts, extending earlier results that assumed monotonicity. Through numerical simulations, we estimate how fast protests spread and identify threshold conditions, similar to epidemiological reproduction numbers, that determine whether protests grow or fade.

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Publication Details

Journal
Journal of Mathematical Analysis and Applications
Published
2026-10-16
DOI
https://doi.org/10.1016/j.jmaa.2026.131151
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.00

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article

Reproductive numbers and traveling fronts in models of protest dynamics with police management

Nancy Rodríguez, Jeffrey Brantingham, Christina Wuyan Wang
Journal of Mathematical Analysis and Applications
Opinion Dynamics and Social Influence
article

Reproductive numbers and traveling fronts in models of protest dynamics with police management

Nancy Rodríguez, Jeffrey Brantingham, Christina Wuyan Wang
article en

Abstract

Protests often spread through social networks and across cities, a phenomenon that can be modeled using reaction–diffusion systems. Building on the model in [10] , which links protest activity and social tension, we study an extended model that also includes police protest management strategies. We focus on traveling wave solutions and examine how protest activity, social tension, and police density interact to shape the spread of protests [36] . Assuming the existence of traveling fronts in parameter regimes where the system is not monotone, we derive stability conditions for these traveling fronts, extending earlier results that assumed monotonicity. Through numerical simulations, we estimate how fast protests spread and identify threshold conditions, similar to epidemiological reproduction numbers, that determine whether protests grow or fade.

Journal of Mathematical Analysis and ApplicationsVol. 568(1)
University of California, Los Angeles (US), University of Colorado Boulder (US)
National Science Foundation, Air Force Office of Scientific Research
Peace, justice, and strong institutions
Openalex Percentile: Top 14%
Opinion Dynamics and Social Influence
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