strong_product#
- strong_product(G, H)[source]#
Returns the strong product of G and H.
The strong product \(P\) of the graphs \(G\) and \(H\) has a node set that is the Cartesian product of the node sets, \(V(P)=V(G) \times V(H)\). \(P\) has an edge \(((u,x), (v,y))\) if any of the following conditions are met:
\(u=v\) and \((x,y)\) is an edge in \(H\)
\(x=y\) and \((u,v)\) is an edge in \(G\)
\((u,v)\) is an edge in \(G\) and \((x,y)\) is an edge in \(H\)
- Parameters:
- G, H: graphs
Networkx graphs.
- Returns:
- P: NetworkX graph
The Cartesian product of G and H. P will be a multi-graph if either G or H is a multi-graph. Will be a directed if G and H are directed, and undirected if G and H are undirected.
- Raises:
- NetworkXError
If G and H are not both directed or both undirected.
Notes
Node attributes in P are two-tuple of the G and H node attributes. Missing attributes are assigned None.
Examples
>>> G = nx.Graph() >>> H = nx.Graph() >>> G.add_node(0, a1=True) >>> H.add_node("a", a2="Spam") >>> P = nx.strong_product(G, H) >>> list(P) [(0, 'a')]
Edge attributes and edge keys (for multigraphs) are also copied to the new product graph