vcount(graph)
ecount(graph)
neighbors(graph, v, mode = 1)
is.directed(graph)
are.connected(graph, v1, v2)
get.edge(graph, id)
get.edges(graph, es)v1 to v2 are searched.v1 to v2 are searched.vcount and ecount return integer
  constants. neighbors returns an integer
  vector. is.directed and are.connected return boolean
  constants. get.edge returns a numeric vector of length two.
  get.edges returns a two-column matrix.  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. 
  get.edge returns the end points of the edge with the supplied
  edge id. For directed graph the source vertex comes first, for
  undirected graphs, the order is arbitrary.
  get.edges returns a matrix with the endpoints of the edges in
  the edge sequence argument.
graphg <- graph.ring(10)
vcount(g)
ecount(g)
neighbors(g, 5)
are.connected(g, 1, 2)
are.connected(g, 2, 4)
get.edges(g, 0:5)Run the code above in your browser using DataLab