strength: Strength or weighted vertex degree

In igraph: Network Analysis and Visualization

Strength or weighted vertex degree

Description

Summing up the edge weights of the adjacent edges for each vertex.

Usage

strength(
  graph,
  vids = V(graph),
  mode = c("all", "out", "in", "total"),
  loops = TRUE,
  weights = NULL
)

Arguments

graph	The input graph.
vids	The vertices for which the strength will be calculated.
mode	Character string, “out” for out-degree, “in” for in-degree or “all” for the sum of the two. For undirected graphs this argument is ignored.
loops	Logical; whether the loop edges are also counted.
weights	Weight vector. If the graph has a weight edge attribute, then this is used by default. If the graph does not have a weight edge attribute and this argument is NULL, then a degree() is called. If this is NA, then no edge weights are used (even if the graph has a weight edge attribute).

Value

A numeric vector giving the strength of the vertices.

Related documentation in the C library

igraph_strength().

Author(s)

Gabor Csardi [e-mail]

References

Alain Barrat, Marc Barthelemy, Romualdo Pastor-Satorras, Alessandro Vespignani: The architecture of complex weighted networks, Proc. Natl. Acad. Sci. USA 101, 3747 (2004)

See Also

degree() for the unweighted version.

Centrality measures alpha_centrality(), authority_score(), betweenness(), closeness(), diversity(), eigen_centrality(), harmonic_centrality(), hits_scores(), page_rank(), power_centrality(), spectrum(), subgraph_centrality()

Examples

g <- make_star(10)
E(g)$weight <- seq(ecount(g))
strength(g)
strength(g, mode = "out")
strength(g, mode = "in")

# No weights
g <- make_ring(10)
strength(g)

igraph documentation built on Oct. 20, 2024, 1:06 a.m.