Preferential attachment network generation.
rpanet_binary_undirected_cpp(
nstep,
m,
new_node_id,
new_edge_id,
node_vec1,
node_vec2,
s,
edgeweight,
scenario,
pref_vec,
control
)Sampled network.
Number of steps.
Number of new edges in each step.
New node ID.
New edge ID.
Sequence of nodes in the first column of edgelist.
Sequence of nodes in the second column of edgelist.
Sequence of node strength.
Weight of existing and new edges.
Scenario of existing and new edges.
Sequence of node preference.
List of controlling arguments.