Deprecated version of closeness() — estimate

Use closeness() with the cutoff argument instead.

estimate_closeness(
  graph,
  vids = V(graph),
  mode = c("out", "in", "all", "total"),
  cutoff,
  weights = NULL,
  normalized = FALSE
)

Arguments

graph: The graph to analyze.
vids: The vertices for which closeness will be calculated.
mode: Character string, defined the types of the paths used for measuring the distance in directed graphs. “in” measures the paths to a vertex, “out” measures paths from a vertex, all uses undirected paths. This argument is ignored for undirected graphs.
cutoff: The maximum path length to consider when calculating the closeness. If zero or negative then there is no such limit.
weights: Optional positive weight vector for calculating weighted closeness. If the graph has a weight edge attribute, then this is used by default. Weights are used for calculating weighted shortest paths, so they are interpreted as distances.
normalized: Logical scalar, whether to calculate the normalized closeness, i.e. the inverse average distance to all reachable vertices. The non-normalized closeness is the inverse of the sum of distances to all reachable vertices.