grow_ba: Barabási & Albert (2002) network growth model

In memnet: Network Tools for Memory Research

Description

Grow networks using Barabási & Alberts's (2002) preferential attachment model.

Usage

grow_ba(n = 100L, m = 5L, power = 1)

Arguments

n	Integer. Number of nodes in the network.
m	Integer. Number of edges added for each incoming node.
power	Numeric. Controls the selection of nodes by raising the degree to this power.

Value

n x n adjacency matrix.

References

Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509-512.

Examples

# generate small graph
grow_ba(n = 6, m = 2)

## Not run: 
# generate large graph, flat degree distribution
grow_ba(n = 100, m = 10, p = .1)

# generate large graph, steep degree distribution
grow_ba(n = 100, m = 10, p = 10)

## End(Not run)

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