New perspectives in the equilibrium statistical mechanics approach to social and economic sciences
Elena Agliari, Adriano Barra, Raffaella Burioni, Pierluigi Contucci

TL;DR
This paper reviews recent mathematical models of social and economic systems using statistical mechanics, focusing on agent interactions on random graphs, dynamics without detailed balance, and their implications for understanding social phenomena.
Contribution
It introduces a novel approach to modeling social interactions with non-equilibrium dynamics and connects these to diluted p-spin models, advancing the theoretical framework.
Findings
Steady states exhibit a shift in critical interaction strength.
Dynamics reach a well-defined steady state with a shift property.
Stationary states correspond to diluted p-spin model equilibria.
Abstract
In this work we review some recent development in the mathematical modelling of quantitative sociology by means of statistical mechanics. After a short pedagogical introduction to static and dynamic properties of many body systems, we develop a theory for agents interactions on random graph. Our approach is based on describing a social network as a graph whose nodes represent agents and links between two of them stand for a reciprocal interaction. Each agent has to choose among a dichotomic option (i.e. agree or disagree) with respect to a given matter and he is driven by external influences (as media) and peer to peer interactions. These mimic the imitative behavior of the collectivity and may possibly be zero if the two nodes are disconnected. For this scenario we work out both the dynamics and the corresponding equilibria (statics). Once the 2-body theory is completely explored, we…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
