cas.att.eigen: Cascade Attack - Eigenvector Centrality

In danielcastro86/psychNetsAttack: Psychological Networks Attack

Cascade Attack - Eigenvector Centrality

Description

Estimates Eigenvector centrality for the initial network and after each node removal. The node with highest centrality is removed and network properties are estimated.

Usage

cas.att.eigen(g)

Arguments

g	igraph network

Value

A dataframe with the network properties values for the initial network and after each node removal.

Author(s)

Daniel Castro

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x)
{
  }

danielcastro86/psychNetsAttack documentation built on Jan. 31, 2025, 8:14 p.m.