Computes features for each network.

This function computes features for each network using graph theoretic constructs.

Usage

compute_features(gr, attributes = FALSE, attr_name = NULL, fast = FALSE)

Arguments

gr

The network or graph as an igraph object.

attributes

If the network nodes/vertices have attributes, then attributes = TRUE.

attr_name

The name of the node/vertex attribute. Only a single attribute can be specified.

fast

If set to TRUE will avoid computing time consuming features.

Value

A network features object containing 20 graph-theoretic features.

Examples

set.seed(1)
gr <- igraph::erdos.renyi.game(100, 0.05)
compute_features(gr)
#> $num_nodes
#> [1] 100
#> 
#> $triangles_99
#> 99% 
#>   4 
#> 
#> $degree_99
#> 99% 
#>  10 
#> 
#> $edges
#> [1] 243
#> 
#> $density
#> [1] 0.04909091
#> 
#> $clustering_coef
#> [1] 0.04991243
#> 
#> $assortativity
#> [1] 0.01358161
#> 
#> $mean_distance
#> [1] 3.015359
#> 
#> $diameter
#> [1] 6
#> 
#> $isolates
#> [1] 0.02
#> 
#> $connectivity
#> [1] 0
#> 
#> $efficiency
#> [1] 0.361064
#> 
#> $num_clusters
#> [1] 3
#> 
#> $cluster_size_99
#>   99% 
#> 96.06 
#> 
#> $close_overpoint8
#> [1] 0
#> 
#> $betweenness_99
#>      99% 
#> 272.1782 
#> 
#> $pagerank_99
#>       99% 
#> 0.0181668 
#> 
#> $cores_99
#> 99% 
#>   4 
#> 
#> $hubs_value
#> [1] 34.00637
#> 
#> $authority_value
#> [1] 34.00637
#> 
#> $call
#> compute_features(gr = gr)
#> 
#> attr(,"class")
#> [1] "networkfeatures"