graph_types function

Querying graph types

Querying graph types

This set of functions lets the user query different aspects of the graph itself. They are all concerned with wether the graph implements certain properties and will all return a logical scalar.

graph_is_simple() graph_is_directed() graph_is_bipartite() graph_is_connected() graph_is_tree() graph_is_forest() graph_is_dag() graph_is_chordal() graph_is_complete() graph_is_isomorphic_to(graph, method = "auto", ...) graph_is_subgraph_isomorphic_to(graph, method = "auto", ...) graph_is_eulerian(cyclic = FALSE)

Arguments

  • graph: The graph to compare structure to
  • method: The algorithm to use for comparison
  • ...: Arguments passed on to the comparison methods. See igraph::is_isomorphic_to() and igraph::is_subgraph_isomorphic_to()
  • cyclic: should the eulerian path start and end at the same node

Returns

A logical scalar

Functions

  • graph_is_simple(): Is the graph simple (no parallel edges)
  • graph_is_directed(): Is the graph directed
  • graph_is_bipartite(): Is the graph bipartite
  • graph_is_connected(): Is the graph connected
  • graph_is_tree(): Is the graph a tree
  • graph_is_forest(): Is the graph an ensemble of multiple trees
  • graph_is_dag(): Is the graph a directed acyclic graph
  • graph_is_chordal(): Is the graph chordal
  • graph_is_complete(): Is the graph fully connected
  • graph_is_isomorphic_to(): Is the graph isomorphic to another graph. See igraph::is_isomorphic_to()
  • graph_is_subgraph_isomorphic_to(): Is the graph an isomorphic subgraph to another graph. see igraph::is_subgraph_isomorphic_to()
  • graph_is_eulerian(): Can all the edges in the graph be reaches by a single path or cycle that only goes through each edge once

Examples

gr <- create_tree(50, 4) with_graph(gr, graph_is_tree())