∗To whom correspondence should be addressed. We develop a cluster expansion for the probability of full connectivity of high den-sity 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 persis-tence 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.
The traditional node percolation map of directed networks is reanalyzed in terms of edges. In the pe...
The percolation properties of clustered networks are analyzed in detail. In the case of weak cluster...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
Abstract We develop a cluster expansion for the probability of full connectivity of high density ran...
Many complex networks exhibit a percolation transition involving a macroscopic connected component, ...
In this paper, we study the probability that a dense network confined within a given geometry is ful...
We study how spatial constraints are reflected in the percolation properties of networks embedded in...
We present a study of connectivity percolation in suspensions of hard spherocylinders by means of Mo...
Publisher Copyright: © 2023 Wiley Periodicals LLC.A simple but powerful network model with (Formula ...
We derive percolation results in the continuum plane that lead to what appears to be a general tende...
Percolation theory is a useful tool when modeling the random interconnectivity of the microscopic el...
The random-cluster model, a correlated bond percolation model, unifies a range of important models o...
Abstract Percolation theory is extensively studied in statistical physics and mathematics with appli...
We develop a fluctuation theory of connectivities for subcritical random cluster models. The theory ...
Percolation theory concerns the emergence of connected clusters that percolate through a networked s...
The traditional node percolation map of directed networks is reanalyzed in terms of edges. In the pe...
The percolation properties of clustered networks are analyzed in detail. In the case of weak cluster...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
Abstract We develop a cluster expansion for the probability of full connectivity of high density ran...
Many complex networks exhibit a percolation transition involving a macroscopic connected component, ...
In this paper, we study the probability that a dense network confined within a given geometry is ful...
We study how spatial constraints are reflected in the percolation properties of networks embedded in...
We present a study of connectivity percolation in suspensions of hard spherocylinders by means of Mo...
Publisher Copyright: © 2023 Wiley Periodicals LLC.A simple but powerful network model with (Formula ...
We derive percolation results in the continuum plane that lead to what appears to be a general tende...
Percolation theory is a useful tool when modeling the random interconnectivity of the microscopic el...
The random-cluster model, a correlated bond percolation model, unifies a range of important models o...
Abstract Percolation theory is extensively studied in statistical physics and mathematics with appli...
We develop a fluctuation theory of connectivities for subcritical random cluster models. The theory ...
Percolation theory concerns the emergence of connected clusters that percolate through a networked s...
The traditional node percolation map of directed networks is reanalyzed in terms of edges. In the pe...
The percolation properties of clustered networks are analyzed in detail. In the case of weak cluster...
International audienceWe consider multiple networks formed by a common set of users connected via M ...