These functions are a collection of node measures that do not really fall into the class of centrality measures. For lack of a better place they are collected under the node_* umbrella of functions.

node_eccentricity(mode = "out")

node_constraint(weights = NULL)

node_coreness(mode = "out")

node_diversity(weights)

node_bridging_score()

node_effective_network_size()

node_connectivity_impact()

node_closeness_impact()

node_fareness_impact()

Arguments

mode

The way edges should be followed in the case of directed graphs.

weights

The weights to use for each node during calculation

Value

A numeric vector of the same length as the number of nodes in the graph.

Functions

  • node_eccentricity: measure the maximum shortest path to all other nodes in the graph

  • node_constraint: measures Burts constraint of the node. See igraph::constraint()

  • node_coreness: measures the coreness of each node. See igraph::coreness()

  • node_diversity: measures the diversity of the node. See igraph::diversity()

  • node_bridging_score: measures Valente's Bridging measures for detecting structural bridges (influenceR)

  • node_effective_network_size: measures Burt's Effective Network Size indicating access to structural holes in the network (influenceR)

  • node_connectivity_impact: measures the impact on connectivity when removing the node (NetSwan)

  • node_closeness_impact: measures the impact on closeness when removing the node (NetSwan)

  • node_fareness_impact: measures the impact on fareness (distance between all node pairs) when removing the node (NetSwan)

Examples

# Calculate Burt's Constraint for each node create_notable('meredith') %>% mutate(b_constraint = node_constraint())
#> # A tbl_graph: 70 nodes and 140 edges #> # #> # An undirected simple graph with 1 component #> # #> # Node Data: 70 x 1 (active) #> b_constraint #> <dbl> #> 1 0.25 #> 2 0.25 #> 3 0.25 #> 4 0.25 #> 5 0.25 #> 6 0.25 #> # … with 64 more rows #> # #> # Edge Data: 140 x 2 #> from to #> <int> <int> #> 1 1 5 #> 2 1 6 #> 3 1 7 #> # … with 137 more rows