I have graph of 2 types of nodes : actors and directors. The graph is constructed such that an actor may have worked with multiple directors and the director may have worked with different actors. The objective is to find the list of actors (sorted by frequency) who have shared the most number of directors (for the given Actor1). The traversal description I wrote looks like : Actor1 --> Director1 <-- Actor2 Actor1 --> Director2 <--Actor2 Actor1 --> Director3 <-- Actor2 Actor1 --> Director4 <-- Actor3 ... and so on
for(Node otherActorNode : Traversal.description().relationships( MyRelationshipTypes.WORKED_WITH,Direction.BOTH) .breadthFirst().uniqueness(Uniqueness.NODE_PATH) .prune( Traversal.pruneAfterDepth( 2 ) ) .traverse(givenActorNode).nodes()){ //Keep frequency updated for otherActorNode } // Display sorted list of otherActorNode that have worked with common director The problem is that I am getting higher (incorrect) scores of the shared number of unique directors for a given 2 actors. I used node_path uniqueness to make sure that we do not traverse same path twice. Instead of one traverser call if I split it into 2 calls: 1. Get all directors the givenActorNode has worked_with 2. For all director nodes, get incoming worked_with relationship and count frequencies (except givenActorNode) I get the correct results: Am I missing in the single traversal description above? -Hemant *************************************************************************** The information contained in this communication is confidential, is intended only for the use of the recipient named above, and may be legally privileged. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please resend this communication to the sender and delete the original message or any copy of it from your computer system. Thank You. **************************************************************************** _______________________________________________ Neo4j mailing list User@lists.neo4j.org https://lists.neo4j.org/mailman/listinfo/user