View source: R/compute_node_metric.R

compute_node_metric | R Documentation |

The function computes graph-theoretic metric values at the node level.

compute_node_metric( graph, metrics = c("deg", "close", "btw", "str", "siw", "miw"), weight = TRUE )

`graph` |
An object of class |

`metrics` |
Character vector specifying the graph-theoretic metrics computed at the node-level in the graphs Graph-theoretic metrics can be: Degree ( `metrics = c("deg", ...)` )Closeness centrality index ( `metrics = c("close",...)` )Betweenness centrality index ( `metrics = c("btw",...)` )Strength (sum of the weights of the links connected to a node) ( `metrics = c("str",...)` )Sum of the inverse weights of the links connected to a node ( `metrics = c("siw", ...)` , default)Mean of the inverse weights of the links connected to a node ( `metrics = c("miw", ...)` )
By default, the vector |

`weight` |
Logical which indicates whether the links are weighted during
the calculation of the centrality indices betweenness and closeness.
(default: |

A `data.frame`

with the node names and the metrics computed.

P. Savary

data(data_ex_genind) mat_gen <- mat_gen_dist(x = data_ex_genind, dist = "DPS") graph <- gen_graph_thr(mat_w = mat_gen, mat_thr = mat_gen, thr = 0.8) res_met <- compute_node_metric(graph)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.