activity
20222025
most citedA geospatial bounded confidence model including mega-influencers with an application to Covid-19 vaccine hesitancy

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2025

Candidate Voter Dynamics

Christoph Borgers, Natasa Dragovic, Arkadz Kirshtein

We model dynamically changing candidate positions in the face of a dynamic electorate. To formulate our equations, we use a space-time-continuous Hegselmann-Krause equation, which…

math.PR2023

On the Poisson Follower Model

Natasa Dragovic, Francois Baccelli

We introduce a stochastic geometry dynamics inspired by opinion dynamics that captures the essence of modern asymmetric social networks with leaders and followers. Points in the Eu…

physics.soc-ph2023

ODEs and Mandatory Voting

Christoph Börgers, Natasa Dragovic, Anna Haensch +2

This paper presents mathematics relevant to the question whether voting should be mandatory. Assuming a static distribution of voters' political beliefs, we model how politicians m…

math.DS2023

A blue sky bifurcation in the dynamics of political candidates

Christoph Börgers, Bruce Boghosian, Natasa Dragovic +1

Political candidates often shift their positions opportunistically in hopes of capturing more votes. When there are only two candidates, the best strategy for each of them is often…

math.NA2022★ 1 cited

A particle method for continuous Hegselmann-Krause opinion dynamics

Bruce Boghosian, Christoph Börgers, Natasa Dragovic +2

We derive a differential-integral equation akin to the Hegselmann-Krause model of opinion dynamics, and propose a particle method for solving the equation. Numerical experiments de…

cs.SI2022★ 1 cited

A geospatial bounded confidence model including mega-influencers with an application to Covid-19 vaccine hesitancy

Anna Haensch, Natasa Dragovic, Christoph Börgers +1

We introduce a geospatial bounded confidence model with mega-influencers, inspired by Hegselmann and Krause. The inclusion of geography gives rise to large-scale geospatial pattern…