network_statistics: Network Statistic Functions
In trh3/netjack: Tools for Working with Samples of Networks

Description Usage Arguments Value References Examples

These functions compute a variety of network statistics on single Net objects.

global_efficiency - Computes global efficiency. Uses brainGraph implementation \insertCitebrainGraphnetjack. Global efficiency originally derived by \insertCiteglobEff;textualnetjack

modularity - Computes modularity with a given community partition. Uses igraph implementation \insertCiteigraphnetjack. Modularity originally derived by \insertCitemod;textualnetjack

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global_efficiency(Net)

modularity(Net, community.variable)

`Net`	Input `Net` object
`community.variable`	character name of the node variable that represents the partition.

Network statistic value

\insertAllCited

data(GroupA)
GroupA1_Net = as_Net(GroupA[[1]], "1", list(community = c(rep(1, 10), rep(2,10))))
global_efficiency(GroupA1_Net)
modularity(GroupA1_Net, "community")