# structure.info

0th

Percentile

##### Gaining information about graph structure

Functions for exploring the basic structure of a network: number of vertices and edges, the neighbors of a node, test whether two vertices are connected by an edge.

Keywords
graphs
##### Usage
vcount(graph)
ecount(graph)
neighbors(graph, v, mode = 1)
is.directed(graph)
are.connected(graph, v1, v2)
##### Arguments
graph
The graph.
v
The vertex of which the neighbors are queried.
mode
Character string, specifying the type of neighboring vertices to list in a directed graph. If out the vertices to which an edge exist are listed, if in the vertices from which an edge is dire
v1
The id of the first vertex. For directed graphs only edges pointing from v1 to v2 are searched.
v2
The id of the second vertex. For directed graphs only edges pointing from v1 to v2 are searched.
##### Details

These functions provide the basic structural information of a graph.

vcount gives the number of vertices in the graph.

ecount gives the number of edges in the graph.

neighbors gives the neighbors of a vertex. The vertices connected by multiple edges are listed as many times as the number of connecting edges. is.directed gives whether the graph is directed or not. It just gives its directed attribute. are.connected decides whether there is an edge from v1 to v2.

##### Value

• vcount and ecount return integer constants. neighbors returns an integer vector. is.directed and are.connected return boolean constants.

graph

##### Aliases
• vcount
• ecount
• neighbors
• is.directed
• are.connected
##### Examples
g <- graph.ring(10)
vcount(g)
ecount(g)
neighbors(g, 5)
are.connected(g, 1, 2)
are.connected(g, 2, 4)
Documentation reproduced from package igraph, version 0.1.2, License: GPL version 2 or later (June, 1991)

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