Monte Carlo Simulation of Small-World Models with Weak Long-Range Interactions
X. Zhang, M. A. Novotny

TL;DR
This paper uses large-scale Monte Carlo simulations to verify the critical scaling behavior of models with combined short- and long-range interactions, including the Hastings long-range model and small-world network models.
Contribution
It provides the first large-scale simulation verification of Hastings' predicted critical scaling in models with mixed interactions.
Findings
Confirmed Hastings' critical scaling predictions for all models
Validated the use of Monte Carlo simulations for complex network models
Demonstrated the universality of critical behavior in small-world and long-range models
Abstract
Large-scale Monte Carlo simulations, together with scaling, are used to obtain the critical behavior of the Hastings long-range model and two corresponding models based on small-world networks. These models have combined short- and long-range interactions. For all three models, the critical scaling behavior predicted by Hastings [Phys. Rev. Lett. 91, 098701] is verified.
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Taxonomy
TopicsTheoretical and Computational Physics · Complex Network Analysis Techniques · Opinion Dynamics and Social Influence
