net.holme.kim {fastnet} | R Documentation |
Holme-Kim Network
Description
Simulate a scale-free network with relatively high clustering, comparing to B-A networks (Holme and Kim, 1999).
Usage
net.holme.kim(n, m, pt)
Arguments
n |
Number of nodes of the network. |
m |
Number of nodes to which a new node connects at each iteration. |
pt |
Triad formation probability after each preferential attachment mechanism. |
Details
The Holme-Kim network model is a simple extension of B-A model. It adds an additional step, called "Triad formation", with the probability pt that compensates the low clustering in B-A networks.
Value
A list containing the nodes of the network and their respective neighbors.
Author(s)
Xu Dong, Nazrul Shaikh
References
Holme, Petter, and Beom Jun Kim. "Growing scale-free networks with tunable clustering."Physical review E65, no. 2 (2002): 026107.
Examples
## Not run:
x <- net.holme.kim (1000, 20, 0.1)
## End(Not run)
[Package fastnet version 1.0.0 Index]