latticize: Lattice with preserved in/out degree distribution

In crcox/latticize:

Description

This function "latticizes" a directed network, while preserving the in- and out-degree distributions. In weighted networks, the function preserves the out-strength but not the in-strength distributions. The function can ensure that the randomized network maintains connectedness, the ability for every node to reach every other node in the network. If this is desired, the input network for this function must be connected.

Usage

latticize(x, epochs, allow_disconnect = TRUE)

Details

@param x An adjacency matrix or igraph object representing the graph to mutate. It is assumed to be directed and weighted, but unweighted is fine. @param epochs rewiring parameter (each edge is rewired approximately ITER times) @param allow_disconnect A logical indicating where a mutation is allowed to disrupt the connectedness of the network. If FALSE, then x must be connected to begin with and represented as an igraph object. The connectedness check is not implemented for plain adjacency matrices.

@return A mutated version of the input network.

@references Maslov and Sneppen (2002) Science 296:910 Sporns and Zwi (2004) Neuroinformatics 2:145

Mika Rubinov, UNSW, 2007-2010 Olaf Sporns, Indiana University, 2012 Chris Cox, Louisiana State University, 2021 (R port)

crcox/latticize documentation built on Dec. 19, 2021, 6:19 p.m.