compute_features: Computes features for each network.

In oddnet: Anomaly Detection in Temporal Networks

Computes features for each network.

Description

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)

oddnet documentation built on May 29, 2024, 4:56 a.m.