get_graph_traits: Calculates several traits from given graph and returns as...

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

Calculates several traits from given graph and returns as data frame

Description

Calculates several traits from given graph and returns as data frame

Usage

get_graph_traits(
  graph,
  normalize = FALSE,
  graph_traits = c("SIZE", "EDGES", "AVERAGE_DEGREE", "MAX_DEGREE",
    "AVERAGE_PATH_LENGTH", "CLUSTERING_COEFFICIENT", "DIAMETER", "DENSITY",
    "ASSORTATIVITY", "AVERAGE_DISTANCE", "TRIADS", "GIRTH"),
  node_traits = c("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", "CORENESS", "PAGERANK", "COLLECTIVE_INFLUENCE",
    "ADAPTIVE_AVERAGE_DISTANCE", "ADAPTIVE_BARYCENTER", "ADAPTIVE_BETWEENNESS",
    "ADAPTIVE_BOTTLENECK", "ADAPTIVE_CENTROID", "ADAPTIVE_CLOSENESS",
    "ADAPTIVE_CLUSTERRANK", "ADAPTIVE_COMMUNITY_BETWEENNESS", "COMMUNITY_CENTRALITY",
    "ADAPTIVE_CROSS_CLIQUE", "ADAPTIVE_CURRENTFLOW_CLOSENESS", "ADAPTIVE_DECAY",
    "ADAPTIVE_EDGE_PERCOLATION", "ADAPTIVE_EIGENVECTOR", "ADAPTIVE_ENTROPY",
    "FREEMAN_CLOSENESS",      "ADAPTIVE_GEODESIC_K_PATH", "ADAPTIVE_HUBBELL",
    "ADAPTIVE_KATZ", "ADAPTIVE_LAPLACIAN", "ADAPTIVE_LATORA_CLOSENESS",
    "ADAPTIVE_LEADERRANK", "ADAPTIVE_LEVERAGE", "ADAPTIVE_LINCENT", "LOBBY",
    "ADAPTIVE_MARKOV", "ADAPTIVE_MAX_NEIGHBORHOOD_COMPONENT",
    "ADAPTIVE_MAX_NEIGHBORHOOD_DENSITY", "ADAPTIVE_PAIRWISE_DISCONNECTIVITY",
    "ADAPTIVE_RADIALITY", "RESIDUAL_CLOSENESS", "ADAPTIVE_SALSA", "ADAPTIVE_SEMILOCAL",
    "ADAPTIVE_TOPOLOGICAL_COEFFICIENT", "ADAPTIVE_VITALITY_CLOSENESS",
    "ADAPTIVE_CORENESS", "ADAPTIVE_PAGERANK",      "ADAPTIVE_COLLECTIVE_INFLUENCE"),
  mode = "all",
  verbose = FALSE
)

Arguments

graph	is the igraph object
normalize	uses pnorm function to normalize the traits. Default is FALSE
graph_traits	is the vector of several graph metrices to calculate
node_traits	is the vector of several node metrices to calculate
verbose	prints the progress log on console when TRUE. Default is FALSE

Value

data frame containing graph and its traits

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