grow_st: Steyvers and Tenenbaum (2004) network growth model

In memnet: Network Tools for Memory Research

Description

Grow networks using Steyvers and Tenenbaum (2004) model, which combines preferential attachment with a triad formation.

Usage

grow_st(n = 100L, m = 5L)

Arguments

n	Integer. Number of nodes in the network.
m	Integer. Number of edges added for each incoming node.

Value

n x n adjacency matrix.

References

Steyvers, M., & Tenenbaum, J. B. (2005). The large-scale structure of semantic networks: Statistical analyses and a model of semantic growth. Cognitive science, 29(1), 41-78.

Wulff, D. U., Hills, T., & Mata, R. (2018, October 29). Structural differences in the semantic networks of younger and older adults. https://doi.org/10.31234/osf.io/s73dp

Examples

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

## Not run: 
# generate large graph
grow_st(n = 100, m = 10)

## End(Not run)

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