simple_net: Generating simulated networks from the Simple Growth model

In thongphamthe/mcPAFit: Estimating Preferential Attachment from a Single Network Snapshot in Constant Time

Description

This function generates a complex network from the Simple Growth model.

Usage

simple_net(time_step, 
           num_seed           = 2     , 
           p                  = 0.5   ,
           alpha              = 1     ,
           alpha_out          = 0   )

Arguments

time_step	Integer. Indicates the number of time-steps.
num_seed	Integer. Number of nodes in the initial network. Fixed at 2,
p	Numeric. Proportion of number of nodes.
alpha	Numeric. The attachment exponent for the in-degree.
alpha_out	Numeric. The attachment exponent for the out-degree. Fixed at 0.

Value

An three-column matrix containing the generated network.

Author(s)

Thong Pham [e-mail]

Examples

library("mcPAFit")
data <- simple_net(100) # Time-steps = 100

thongphamthe/mcPAFit documentation built on May 20, 2019, 10:23 p.m.