Description Usage Arguments Value Functions Examples
These functions all lets the user query whether each node is of a certain type. All of the functions returns a logical vector indicating whether the node is of the type in question. Do note that the types are not mutually exclusive and that nodes can thus be of multiple types.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22  node_is_cut()
node_is_root()
node_is_leaf()
node_is_sink()
node_is_source()
node_is_isolated()
node_is_universal(mode = "out")
node_is_simplical(mode = "out")
node_is_center(mode = "out")
node_is_adjacent(to, mode = "all", include_to = TRUE)
node_is_keyplayer(k, p = 0, tol = 1e04, maxsec = 120,
roundsec = 30)

mode 
The way edges should be followed in the case of directed graphs. 
to 
The nodes to test for adjacency to 
include_to 
Should the nodes in 
k 
The number of keyplayers to identify 
p 
The probability to accept a lesser state 
tol 
Optimisation tolerance, below which the optimisation will stop 
maxsec 
The total computation budget for the optimization, in seconds 
roundsec 
Number of seconds in between synchronizing workers' answer 
A logical vector of the same length as the number of nodes in the graph.
node_is_cut
: is the node a cut node (articaultion node)
node_is_root
: is the node a root in a tree
node_is_leaf
: is the node a leaf in a tree
node_is_sink
: does the node only have incomming edges
node_is_source
: does the node only have outgoing edges
node_is_isolated
: is the node unconnected
node_is_universal
: is the node connected to all other nodes in the graph
node_is_simplical
: are all the neighbors of the node connected
node_is_center
: does the node have the minimal eccentricity in the graph
node_is_adjacent
: is a node adjacent to any of the nodes given in to
node_is_keyplayer
: Is a node part of the keyplayers in the graph (influenceR
)
1 2 3  # Find the root and leafs in a tree
create_tree(40, 2) %>%
mutate(root = node_is_root(), leaf = node_is_leaf())

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