coreness_influential: Returns the most influential nodes in a graph using Coreness...

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

Returns the most influential nodes in a graph using Coreness heuristic

Description

Returns the most influential nodes in a graph using Coreness heuristic

Usage

coreness_influential(
  graph,
  budget = 1,
  test_method = c("RESILIENCE", "INFLUENCE_LT", "INFLUENCE_IC")
)

Arguments

graph	is the igraph object
budget	number of influential nodes to be fetched. Default value is 1
test_method	specifies the method to measure influence. Value MUST be "RESILIENCE", "INFLUENCE_IC" or "INFLUENCE_LT"

Value

object containing: 1. Vector of influential nodes. 2. Measure of influence. 3. Elapsed time in seconds.

References

Zhang, X., Zhu, J., Wang, Q., & Zhao, H. (2013). Identifying influential nodes in complex networks with community structure. Knowledge-Based Systems, 42.

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