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Binary-State Dynamics on Complex Networks: Pair Approximation and Beyond

2012/09/30 by James P. Gleeson · 180 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Complex Network Analysis Techniques #Complex system #Dynamics (music) #Gene Regulatory Network Analysis #Mathematical model #Opinion Dynamics and Social Influence #Stochastic process #cond-mat.dis-nn #cond-mat.stat-mech #physics.soc-ph

paper · pdf · doi:10.1103/physrevx.3.021004

published in Physical Review X 3(2) (American Physical Society) · This version accepted for publication in Physical Review X. Octave/Matlab code for implementing and solving the differential equation systems is available from http://www.ul.ie/gleesonj

arxiv created 2013/02/15 · openalex publication_date 2013/04/29 · arxiv updated 2013/05/08 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

An analytical statistical-physical approach that is low in computational complexity, but high in accuracy is now available for theoretical studies of how behaviors, opinions, and infectious diseases spread among human populations.

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