net.random.plc function

Random Network with a Power-law Degree Distribution that Has An Exponential Cutoff

Simulate a random network with a power-law degree distribution that has an exponential cutoff, according to Newman et al. (2001).

net.random.plc(n, cutoff, exponent)

Arguments

• n: The number of the nodes in the network.
• cutoff: Exponential cutoff of the degree distribution of the network.
• exponent: Exponent of the degree distribution of the network.

Returns

A list containing the nodes of the network and their respective neighbors.

Details

The generated random network has a power-law degree distribution with an exponential degree cutoff.

Examples

## Not run:

x <- net.random.plc(1000, 10, 2)
## End(Not run)

References

Newman, Mark EJ, Steven H. Strogatz, and Duncan J. Watts. "Random graphs with arbitrary degree distributions and their applications." Physical review E 64, no. 2 (2001): 026118.

Author(s)

Xu Dong, Nazrul Shaikh