R: Measures based on the neighborhood of each node

local_graph {tidygraph}

R Documentation

Measures based on the neighborhood of each node

Description

These functions wraps a set of functions that all measures quantities of the local neighborhood of each node. They all return a vector or list matching the node position.

Usage

local_size(order = 1, mode = "all", mindist = 0)

local_members(order = 1, mode = "all", mindist = 0)

local_triangles()

local_ave_degree(weights = NULL)

local_transitivity(weights = NULL)

Arguments

`order`	Integer giving the order of the neighborhood.
`mode`	Character constatnt, it specifies how to use the direction of the edges if a directed graph is analyzed. For ‘out’ only the outgoing edges are followed, so all vertices reachable from the source vertex in at most `order` steps are counted. For ‘"in"’ all vertices from which the source vertex is reachable in at most `order` steps are counted. ‘"all"’ ignores the direction of the edges. This argument is ignored for undirected graphs.
`mindist`	The minimum distance to include the vertex in the result.
`weights`	Weight vector. If the graph has a `weight` edge attribute, then this is used by default. If this argument is given, then vertex strength (see `strength`) is used instead of vertex degree. But note that `knnk` is still given in the function of the normal vertex degree.

Value

A numeric vector or a list (for local_members) with elements corresponding to the nodes in the graph.

Functions

local_size: The size of the neighborhood in a given distance from the node. (Note that the node itself is included unless mindist > 0). Wraps igraph::ego_size().
local_members: The members of the neighborhood of each node in a given distance. Wraps igraph::ego().
local_triangles: The number of triangles each node participate in. Wraps igraph::count_triangles().
local_ave_degree: Calculates the average degree based on the neighborhood of each node. Wraps igraph::knn().
local_transitivity: Calculate the transitivity of each node, that is, the propensity for the nodes neighbors to be connected. Wraps igraph::transitivity()

Examples

# Get all neighbors of each graph
create_notable('chvatal') %>%
  activate(nodes) %>%
  mutate(neighborhood = local_members(mindist = 1))

# These are equivalent
create_notable('chvatal') %>%
  activate(nodes) %>%
  mutate(n_neighbors = local_size(mindist = 1),
         degree = centrality_degree()) %>%
  as_tibble()

[Package tidygraph version 1.0.0 Index]