Facebook Graph Theory(itechtalks.blogspot.com)

  g = new Neo4jGraph('/tmp/neo4j')

  // calculate basic collaborative filtering for vertex 1
  m = [:]
  g.v(1).out('likes').in('likes').out('likes').groupCount(m)
  m.sort{a,b -> a.value <=> b.value}

  // calculate the primary eigenvector (eigenvector centrality) of a graph
  m = [:]; c = 0;
  g.V.out.groupCount(m).loop(2){c++ < 1000}
  m.sort{a,b -> a.value <=> b.value}