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