torusNearestNeighbors

network.torusNearestNeighbors(sizex, sizey, neighbours, node= dynNode, edge = weightedEdge)
Adds a 2-dimensional, cyclic lattice (torus) to the network, in which each node is connected to a fixed number of nearest neighbours.

Parameters

sizex: integer
Size of the torus in x-direction
sizey: integer
Size of the torus in y-direction
neighbours : integer
The number of neighbours each node is connected to. If the choice cannot be made unique, neighbours are chosen randomly.
node: node template
Every added node is a copy of this template.
edge: edge template
Every added edge is a copy of this template.

Example (python-conedy)

import conedy as co

N = co.network()

N.torusNearestNeighbors (40,40,36.0, co.node(), co.weightedEdge()) #creates a torus of nodes, where each is connected to its 8 (4 direct, 4 diagonal) nearest neighbors and to 2 neighbors with distance 2 randomly chosen

print "should be 36.0:" + str(N.meanDegree())

Example (conedy)

network N;

N.torusNearestNeighbors (40,40,36.0, node, weightedEdge); #creates a torus of nodes, where each is connected to its 8 (4 direct, 4 diagonal) nearest neighbors and to 2 neighbors with distance 2 randomly chosen

print "should be 36.0:" + N.meanDegree() + newline;

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