activity
20052026
most citedA Universal Model of Global Civil Unrest

118 citations · 255 across the 17 of their papers we have counts for

collaborators

19 papers

q-bio.PE2026

What sets the critical genome length for sympatric speciation? A closed form and asymptotic theory

Dan Braha, Marcus A. M. de Aguiar, Vitor M. Marquioni

In the Derrida--Higgs model of sympatric speciation, a sexually reproducing population with finite binary genomes can mate only when the genetic overlap between two individuals exc…

cs.SI2026

Majority Correctness in Social Networks: From Well-Mixed Electorates to Complex Networks

Dan Braha, Marcus A. M. de Aguiar

We study majority correctness when voting is preceded by sustained social interaction on a social network. Motivated by the Condorcet Jury Theorem, we consider a binary choice with…

q-bio.PE2026

Selection Mechanisms, Stationary Distributions, and Reversibility in Multiallelic Moran Models

Dan Braha, Marcus A M de Aguiar

The Moran process with selection and recurrent mutation is a classical model in population genetics, yet how the placement of selection within the update rule shapes the stationary…

q-bio.PE2026

The multi-allelic Moran process as a multi-zealot voter model: exact results and consequences for diversity thresholds

Dan Braha, Marcus A. M. de Aguiar

The Moran process is a foundational model of genetic drift and mutation in finite populations. In its standard two-allele form with population size , allele counts, and hence al…

physics.soc-ph2025

Generalizing Condorcet's Jury Theorem to Social Networks

Dan Braha, Marcus A. M. de Aguiar

We generalize Condorcet's jury theorem (CJT) to socially connected populations in which agents revise discrete choices on a network in the presence of zealots. Free agents receive…

stat.ME2024

Emergence of Collective Accuracy in Socially Connected Networks

Dan Braha, Marcus A. M. de Aguiar

We analyze the accuracy of collective decision-making in socially connected populations, where agents update binary choices through local interactions on a network. Each agent rece…