Work

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

Year: 2013

Type: article

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.

Source: Physical Review X

DOI: 10.1103/physrevx.3.021004

Author: James P. Gleeson

Institution: University of Limerick

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $4,200

Funders: European Commission, Science Foundation Ireland, Irish Centre for High-End Computing, FP7 Information and Communication Technologies

Awards: Modelling dynamics on complex networks, G2203972493, Mathematical framework for multiplex networks, G4358921014, G464291786, G511428791, SRC SEES: Sustainable Electrical Energy Systems (SEES), G748345579

OpenAlex ID: W2096990683

FWCI: 6.624

Cites: 71

Cited by: 184

Related to: