Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2012-01-15
Physics
Condensed Matter
Disordered Systems and Neural Networks
28 pages, 8 figures
Scientific paper
We develop a cluster expansion for the probability of full connectivity of high density random networks in confined geometries. In contrast to percolation phenomena at lower densities, boundary effects, which have previously been largely neglected, are not only relevant but dominant. We derive general analytical formulas that show a persistence of universality in a different form to percolation theory, and provide numerical confirmation. We also demonstrate the simplicity of our approach in three simple but instructive examples and discuss the practical benefits of its application to different models.
Coon Justin
Dettmann Carl P.
Georgiou Orestis
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