collective_influence: Returns CI value of given graph and node

In seekme94/influence.mining: Provides various methods for influence mining on Graphs

Returns CI value of given graph and node

Description

Returns CI value of given graph and node

Usage

collective_influence(
  graph,
  neighborhood_distance,
  node_id,
  method = c("degree")
)

Arguments

graph	the igraph object
neighborhood_distance	is the distance to which the neighborhood nodes are searched for
node_id	is the ID of the target node
method	is the metric to calculate sum of influence. Default is "degree"

Value

influence as product of degree of target node and total sum of degrees of neighborhood TODO: extend the function and include adaptive methods as well as other centrality methods

Examples

{collective_influence(graph=erdos.renyi.game(100, 0.2), neighborhood_distance=2, 1)}

seekme94/influence.mining documentation built on Aug. 2, 2022, 10:19 p.m.