rpanet_bag_cpp: Preferential attachment algorithm for simple situations,...

In wdnet: Weighted and Directed Networks

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.

wdnet documentation built on May 29, 2024, 9:32 a.m.