View source: R/NetworkAnalysis.R

Function computing different network analysis metrics.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
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"))
)
``` |

`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 |

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