Hi, First, I analyze the statistics of my real-world graph data set. For example, determine the degree distribution -- if you want to get fancy, the degree distribution for each edge type/label. Then I plot that on a log/log-scale. Get the slope of that plot which gives me the alpha exponent. From there, I use iGraph, NetworkX, etc. to generate an artificial graph (at whatever size I want) that respects that scaling exponent (that alpha).
Another method, that is easier is simply to do a rich-get-richer, preferential attachment algorithm which will give you a natural looking graph at any arbitrary size. The algorithm for that is fairly simple---max 50 lines of code. HTH, Marko. http://markorodriguez.com On Aug 8, 2011, at 9:53 AM, Michael Hunger wrote: > Normally you just write a generator that creates nodes, relationships and > properties that would > resemble YOUR domain model. > > You can create a graph using that generator either with the normal java API > or if it is really large (100M+ nodes and rels) then use the > Batch-Inserter-API for that. > > Then you implement your use-cases on top of your domain model and test and > verify them on a small graph and performance test them on the large, > generated graph. > > Cheers > > Michael > > Am 08.08.2011 um 17:49 schrieb Reza Ameri: > >> Hi, >> How can I test my application that uses Neo4j? >> I can not find a huge sample graph to test my app with it. Is there any one >> that can help me??? >> Thank you all >> _______________________________________________ >> Neo4j mailing list >> [email protected] >> https://lists.neo4j.org/mailman/listinfo/user > > _______________________________________________ > Neo4j mailing list > [email protected] > https://lists.neo4j.org/mailman/listinfo/user _______________________________________________ Neo4j mailing list [email protected] https://lists.neo4j.org/mailman/listinfo/user
