We present a short review based on the nonlinear q-voter model about problems and
methods raised within statistical physics of opinion formation (SPOOF). We describe …

In the face of the upcoming 30th anniversary of econophysics, we review our contributions
and other related works on the modeling of the long-range memory phenomenon in …

Recent political campaigns have demonstrated how technologies are used to boost election
outcomes by microtargeting voters. We propose and analyze a framework which analyzes …

This paper studies a novel spatial auto-correlation model of voter uncertainty across districts.
We use the Moran I index to measure the auto-correlation of Shannon, relative Shannon …

Opinion dynamics models have an enormous potential for studying current phenomena
such as vaccine hesitancy or diffusion of fake news. Unfortunately, to date, most of the …

The noisy voter model is a stylized representation of opinion dynamics. Individuals copy
opinions from other individuals, and are subject to spontaneous state changes. In the case …

Spin and spatial dimensionalities are universal concepts, essential for describing both
phase transitions and dynamics in magnetic materials. Lately, these ideas have been …

Numerous models in opinion dynamics focus on the temporal dynamics within a single
electoral unit (eg country). The empirical observations, on the other hand, are often made …

Understanding where and why political change is happening in a country is a fundamental
issue in political geography. While electoral choice is individual, it is influenced by various …

In elections, the vote shares or turnout rates show a strong spatial correlation. The
logarithmic decay with distance suggests that a two-dimensional (2D) noisy diffusive …