net.random.plc: Random Network with a Power-law Degree Distribution that Has An Exponential Cutoff
Description
Simulate a random network with a power-law degree distribution that has an exponential cutoff, according to Newman et al. (2001).
Usage
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.
Value
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.
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.