influence: Mine the most influential nodes in given graph

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

Mine the most influential nodes in given graph

Description

Mine the most influential nodes in given graph

Usage

influence(
  graph,
  budget = 1,
  prob = 0.5,
  steps = 1,
  optimal_solution = FALSE,
  test_method = c("RESILIENCE", "INFLUENCE_LT", "INFLUENCE_IC"),
  heuristic = c("GREEDY", "PAGERANK", "COLLECTIVE_INFLUENCE", "CORENESS", "CENTRALITY",
    "ADAPTIVE_CENTRALITY"),
  centrality_method = c("DEGREE", "ECCENTRICITY", "AVERAGE_DISTANCE", "BARYCENTER",
    "BETWEENNESS", "BOTTLENECK", "CENTROID", "CLOSENESS", "CLUSTERRANK",
    "COMMUNITY_BETWEENNESS", "COMMUNITY_CENTRALITY", "CROSS_CLIQUE",
    "CURRENTFLOW_CLOSENESS", "DECAY", "EDGE_PERCOLATION", "EIGENVECTOR", "ENTROPY",
    "FREEMAN_CLOSENESS", "GEODESIC_K_PATH", "HUBBELL", "KATZ", "LAPLACIAN",
    "LATORA_CLOSENESS", "LEADERRANK", "LEVERAGE", "LINCENT", "LOBBY", "MARKOV",
    "MAX_NEIGHBORHOOD_COMPONENT", "MAX_NEIGHBORHOOD_DENSITY", "PAIRWISE_DISCONNECTIVITY",
         "RADIALITY", "RESIDUAL_CLOSENESS", "SALSA", "SEMILOCAL",
    "TOPOLOGICAL_COEFFICIENT", "VITALITY_CLOSENESS"),
  parallel = TRUE,
  logging = TRUE
)

Arguments

graph	is the igraph object
budget	number of influential nodes to be fetched. Default value is 1
prob	probability at which a node influences its neighbours
steps	is the time steps for which, the diffusion process should run. Provide NULL for exhaustive run. Default value is 1
optimal_solution	should be TRUE if influential nodes are to be derived using optimal algorithm. Caution! This is the slowest apporach
test_method	specifies the method to measure influence. Value MUST be "RESILIENCE", "INFLUENCE_IC" or "INFLUENCE_LT"
heuristic	specifies the heuristic method used for influence calculation. Required only when optimal_solution is FALSE
centrality_method	is the centrality algorithm to use when heuristic is "CENTRALITY" or "ADAPTIVE_CENTRALITY". Value must be "DEGREE", "BETWEENNESS", "CLOSENESS" or "EIGENVECTOR"
parallel	when true, executes the funtion using multiple CPU cores. Default value is TRUE
logging	when true, a complete log is stored in output.log file

Value

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

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