bonpow: Find Bonacich Power Centrality Scores of Network Positions
In igraph: Network Analysis and Visualization

bonpow

R Documentation

Find Bonacich Power Centrality Scores of Network Positions

bonpow() was renamed to power_centrality() to create a more consistent API.

bonpow(
  graph,
  nodes = V(graph),
  loops = FALSE,
  exponent = 1,
  rescale = FALSE,
  tol = 1e-07,
  sparse = TRUE
)

`graph`	the input graph.
`nodes`	vertex sequence indicating which vertices are to be included in the calculation. By default, all vertices are included.
`loops`	boolean indicating whether or not the diagonal should be treated as valid data. Set this true if and only if the data can contain loops. `loops` is `FALSE` by default.
`exponent`	exponent (decay rate) for the Bonacich power centrality score; can be negative
`rescale`	if true, centrality scores are rescaled such that they sum to 1.
`tol`	tolerance for near-singularities during matrix inversion (see `solve()`)
`sparse`	Logical scalar, whether to use sparse matrices for the calculation. The ‘Matrix’ package is required for sparse matrix support