Boris, as for the common nodes in between, you could take a look at the graph algos in http://components.neo4j.org/neo4j/1.4.M03/apidocs/ . In short, i think a AllPaths would be good for finding this out.
Alternatively, you could use Cypher to do this, see http://docs.neo4j.org/chunked/snapshot/query-match.html, something like start me=(3) match (me)-[:LIKES]->()<--(the_other), (me) -[:FRIEND]-> (the_other) return the_other Marko can pitch in the Gremlin version! Cheers, /peter neubauer GTalk: neubauer.peter Skype peter.neubauer Phone +46 704 106975 LinkedIn http://www.linkedin.com/in/neubauer Twitter http://twitter.com/peterneubauer http://www.neo4j.org - Your high performance graph database. http://startupbootcamp.org/ - Öresund - Innovation happens HERE. http://www.thoughtmade.com - Scandinavia's coolest Bring-a-Thing party. On Fri, Jun 10, 2011 at 2:19 AM, Boris Kizelshteyn <[email protected]> wrote: > Hi All, > > Noob question here: > > Say that I am a node on the graph as are 3 of my other friends. No let's say > that ice cream is a node and pizza is a node. Two of us like pizza, where > like is the relationship (edge), and 3 of us like ice cream. I would like to > know who likes ice cream and who likes pizza given just the people nodes. > The ultimate goal is to determine who like the same things I do. What is the > best way to do this? > > Currently I can accomplish what I'm looking for by getting all the > relationships from each of the nodes and seeing where they lead and then > seeing if these nodes are the same as mine. But it would seem that there may > be a better way, like something that takes two (n) nodes and shows all the > common relationship endpoints. Seems like this should be possible with > paths, but I can't seem to figure it out. > > Bonus if you can give me an example in REST. > > Thanks so much! > _______________________________________________ > Neo4j mailing list > [email protected] > https://lists.neo4j.org/mailman/listinfo/user > _______________________________________________ Neo4j mailing list [email protected] https://lists.neo4j.org/mailman/listinfo/user
