get_metrics: Compute network metrics

In PascalCrepey/HospitalNetwork: Building Networks of Hospitals Through Patients Transfers

Compute network metrics

Description

Function computing different network analysis metrics.

Usage

get_metrics(
  network,
  mode = "directed",
  weighted = TRUE,
  transfers = TRUE,
  metrics = c("degree", "closeness", "clusters", "betweenness"),
  clusters = c("cluster_fast_greedy", "cluster_infomap"),
  hubs = "all_clusters",
  options = list(degree = list(modes = c("in", "out", "total")), closeness = list(modes =
    "total"), betweenness = list(), cluster_fast_greedy = list(undirected = "collapse"),
    cluster_infomap = list(undirected = "collapse"), clusters = list(algos =
    c("cluster_fast_greedy", "cluster_infomap"), undirected = "collapse"))
)

Arguments

network	the network to analyze. Must be an igraph, HospiNet or a square adjacency matrix (n*n).
mode	either "directed" or "undirected" network measures
weighted	TRUE if the network is weighted
transfers	TRUE if metrics specific to subject transfers must be computed
metrics	list of the metrics to compute
clusters	choose between cluster algorithm: cluster_fast_greedy or cluster_infomap
hubs	choose between getting hubs from "all_clusters" or "global"
options	named list of options to be passed to the igraph functions

PascalCrepey/HospitalNetwork documentation built on March 7, 2023, 5:41 a.m.