rpanet_linear_directed_cpp: Preferential attachment network generation.
In wdnet: Weighted and Directed Networks

rpanet_linear_directed_cpp

R Documentation

Preferential attachment network generation.

Description

Preferential attachment network generation.

Usage

rpanet_linear_directed_cpp(
  nstep,
  m,
  new_node_id,
  new_edge_id,
  source_node,
  target_node,
  outs,
  ins,
  edgeweight,
  scenario,
  sample_recip,
  node_group,
  spref_vec,
  tpref_vec,
  control
)

Arguments

`nstep`	Number of steps.
`m`	Number of new edges in each step.
`new_node_id`	New node ID.
`new_edge_id`	New edge ID.
`source_node`	Sequence of source nodes.
`target_node`	Sequence of target nodes.
`outs`	Sequence of out-strength.
`ins`	Sequence of in-strength.
`edgeweight`	Weight of existing and new edges.
`scenario`	Scenario of existing and new edges.
`sample_recip`	Logical, whether reciprocal edges will be added.
`node_group`	Sequence of node group.
`spref_vec`	Sequence of node source preference.
`tpref_vec`	Sequence of node target preference.
`control`	List of controlling arguments.