getVertices: Get vertices from a graph
In MiloMonnier/supplynet: Supply network design and robustness assessment tools

Description Usage Arguments Value Examples

# Vertices probababilites to be chosen can depend on 3 criterias: k - Their centrality index: degree, betweenness, etc (preferential attachment) t - Their topological distance from reference node(s) s - Their spatial distance from reference node(s) if all weigths are set to 0, its equals to random mode

getVertices(
  g,
  n = 1,
  vs = V(g),
  mode = c("random", "targeted", "proba"),
  ct.ind.FUN = betweenness,
  ct.ind.w = 1,
  v.dist.ref = V(g),
  sp.dist.attr = "dist",
  sp.dist.w = 0,
  topo.dist.w = 0
)

`g`	igraph object.
`n`	numeric; number of vertices to return (default: 1).
`vs`	igraph.vs; sequence in which to choose the `n` vertices. (default: all graph vertices).
`mode`	character; method used to choose the `n` vertices , eitheer 'random', 'targeted' or 'proba'. Modes 'targeted' and 'proba' can use several criterias such as centrality index with `ct.ind.FUN`. (default: 'random').
`ct.ind.FUN`	function used to compute centrality index of the vertices sequence. Used only if ci.w > 0. Default is `betweenness` but can also be `degree`.
`ct.ind.w`	exponent weighting vertices centrality index in probabilities mix. If negative, less central vertices are more likely to be chosen. Default is 1.
`v.dist.ref`	igraph.vs of reference from which to compute `sp.dist` and `topo.dist`.
`sp.dist.attr`	Name of edge attribute containing spatial distance.
`sp.dist.w`	Exponent weighting spatial distance in probabilities mix.
`topo.dist.w`	Exponent weighting topological distance in probabilities mix.

An igraph.vs vertex or vertices sequence.

library(igraph)
set.seed(123)
g = erdos.renyi.game(100, 120, 'gnm')
## Get a random vertex
getVertices(g)
## Get vertex with highest betweenness
v = getVertices(g, mode="targ")
v==V(g)[which.max(betweenness(g))]
## Get vertex with highest degree
v = getVertices(g, mode="targeted", ct.ind.FUN=degree)
v==V(g)[which.max(degree(g))]