The Many-agent limit of the Extreme Introvert-Extrovert model
Deepak Dhar, Kevin E. Bassler, and R. K. P. Zia

TL;DR
This paper analyzes a simplified model of social agents with introvert and extrovert behaviors, deriving exact results for large populations and exploring phase transitions and cooperative dynamics.
Contribution
It provides an exact analysis of the many-agent limit of a social interaction model with long-range couplings and introduces variations with preferential attachment behaviors.
Findings
Exact solution for large N behavior of the model.
Identification of a phase transition related to link density.
Analysis of fluctuations near the phase transition.
Abstract
We consider a toy model of interacting extrovert and introvert agents introduced earlier by Liu et al [Europhys. Lett. {\bf 100} (2012) 66007]. The number of extroverts, and introverts is each. At each time step, we select an agent at random, and allow her to modify her state. If an extrovert is selected, she adds a link at random to an unconnected introvert. If an introvert is selected, she removes one of her links. The set of links evolves in time, and may be considered as a set of Ising spins on an square-grid with single-spin-flip dynamics. This dynamics satisfies detailed balance condition, and the probability of different spin configurations in the steady state can be determined exactly. The effective hamiltonian has long-range multi-spin couplings that depend on the row and column sums of spins. If the relative bias of choosing an extrovert over an…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
