Sociophysics in the mexican case (Sociof\'isica en el caso mexicano)
I. Ibarra L\'opez, H. Hern\'andez-Salda\~na

TL;DR
This paper analyzes electoral data from Mexico using statistical physics methods, revealing regularities like power laws and Daisy models, and shows that entropy-based approaches cannot detect vote-buying or electoral fraud.
Contribution
It applies statistical mechanics models to Mexican electoral data, identifying regularities and testing entropy methods for fraud detection, which proved ineffective.
Findings
Power law regularities found in Mexican election data
Daisy models linked to corporate voting patterns
Entropy methods do not detect vote-buying in Mexican elections
Abstract
The availability of electoral data in electronic format allowed to physicist and mathematicians their own analysis. Beyond theoretical models for electoral processes, new regularities had been found in the data analysis of many countries and many elections. Here, we discuss some of the statistical regularities found for M\'exico, from power laws Daisy models linked in corporate vote. The methods used are those from standard statistics and statistical mechanics. As a particular application we discuss an entropic approach to the distribution of votes for the Partido Revolucionario Institucional and we demonstrate that this kind of method DOES NOT allow to discover a massive buy of vote. The argument is that such a distribution has been amazingly consistent in the last two decades elections. Other methods have been unsuccessful to discover signal of fraud. RESUMEN: Con la disponibilidad…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Systems and Time Series Analysis · Statistical Mechanics and Entropy
