rpanet_bag_cpp {wdnet} | R Documentation |
Preferential attachment algorithm for simple situations, i.e., edge weight equals 1, each step adds one new edge.
Description
Preferential attachment algorithm for simple situations, i.e., edge weight equals 1, each step adds one new edge.
Usage
rpanet_bag_cpp(
snode,
tnode,
scenario,
nnode,
nedge,
delta_out,
delta_in,
directed
)
Arguments
snode |
Source nodes. |
tnode |
Target nodes. |
scenario |
Sequence of alpha, beta, gamma, xi, rho scenarios. |
nnode |
Number of nodes in seed network. |
nedge |
Number of edges in seed network. |
delta_out |
Tuning parameter. |
delta_in |
Tuning parameter. |
directed |
Whether the network is directed. |
Value
Returns a list that includes the total number of nodes, sequences of source and target nodes.
[Package wdnet version 1.2.3 Index]