grow_ws: Watts & Strogatz (2002) network growth model

In memnet: Network Tools for Memory Research

Description

Grow networks using Watts & Strogatz (1999) growth model, which constructs in-between regular lattices and random networks by re-wiring edges of a regular lattice with probability p.

Usage

grow_ws(n = 100L, k = 10L, p = 0.2)

Arguments

n	Integer. Number of nodes in the network.
k	Integer. Number of edges added for each incoming node. Can only be even.
p	Numeric. Proability that an edge e_ij is rewired to e_ik with k being randomly drawn from the set of nodes.

Value

n x n adjacency matrix.

References

Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440-442.

Examples

# generate small, mildly random graph
grow_ws(n = 6, k = 2, p = .2)

## Not run: 
# generate large, mildly random graph
grow_ws(n = 100, k = 10, p = .1)

# generate large, highly random graph
grow_ws(n = 100, k = 10, p = 10)

## End(Not run)

memnet documentation built on May 2, 2019, 9:35 a.m.