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One row per node per network with strength (sum of absolute incident edge weights) and, for directed networks, out_strength / in_strength (NA for undirected). Self-loops are excluded.

Usage

# S3 method for class 'net_usem'
nodes(x, ...)

# S3 method for class 'var_result'
nodes(x, ...)

nodes(x, ...)

# S3 method for class 'netobject'
nodes(x, ...)

# S3 method for class 'netobject_group'
nodes(x, ...)

# S3 method for class 'gvar_result'
nodes(x, ...)

# S3 method for class 'net_mlvar'
nodes(x, ...)

# S3 method for class 'net_gimme'
nodes(x, ...)

# S3 method for class 'var_list'
nodes(x, ...)

# S3 method for class 'gvar_list'
nodes(x, ...)

Arguments

x

A gvar_result, net_mlvar, net_gimme, netobject, or netobject_group.

...

Passed to methods.

Value

A tidy data.frame.

Examples

W <- matrix(c(0, 0.3, -0.2, 0), 2, 2,
            dimnames = list(c("A", "B"), c("A", "B")))
x <- structure(list(weights = W, method = "relative", directed = TRUE),
               class = "cograph_network")
nodes(as_netobject(x))
#>    network node strength out_strength in_strength self
#> A relative    A      0.5          0.2         0.3    0
#> B relative    B      0.5          0.3         0.2    0