one more solution. set a sampling_ratio, say 10:
Person1.outgoing(:follows).outgoing(:tweeted).depth(2).filter("position.length()==
2;") .prune("position.returnedNodesCount() > 100 * sampling_ratio")
then do a sort based on timestamp.
the goal is not to get the perfect result but *good enough* ones
depends on your experience.On Thu, Nov 3, 2011 at 4:48 PM, maxdemarzi <maxdema...@gmail.com> wrote: > Came up with another possibility: > > G) Store the Latest 100 tweeted relationship ids with dates as a property of > the User Node, and a custom Breadth First Traversal that evaluates the list > of every follower's latest 100 tweets before deciding which relationships to > follow. > > -- > View this message in context: > http://neo4j-community-discussions.438527.n3.nabble.com/Activity-Streams-and-Twitter-Sample-App-tp3477669p3477693.html > Sent from the Neo4j Community Discussions mailing list archive at Nabble.com. > _______________________________________________ > Neo4j mailing list > User@lists.neo4j.org > https://lists.neo4j.org/mailman/listinfo/user > -- Best wishes, Linan Wang Architect, Programmer, PhD _______________________________________________ Neo4j mailing list User@lists.neo4j.org https://lists.neo4j.org/mailman/listinfo/user
