Neo4j cypher query from Training -

i finished training @ http://www.neo4j.org/learn/online_course , had couple of questions lab answers.

the first advanced graph lab in lesson 2. (no answer given , doesn't verify in graph widget thingie)

the question is: recommend 3 actors keanu reeves should work (but hasn’t). hint should pick 3 people have acted_in relationships movies keanu hasn't acted_in.

the graph has person nodes , movie nodes acted_in relationships , directed relationships.

i came this:

match (a:person)-[:acted_in]->(movie:movie) not (:person {name:"keanu reeves"})-[:acted_in]->(movie) return a, count(movie) order count(movie) desc limit 3 

but couldn't tell if excluded same movie or keanu reeves (because actors returned hadn't been in keanu's movies, might have been returned anyway.

i've found 2 solutions far.

1: recommend busiest actors keanu reeves has not acted with.

match (p:person)-[:acted_in]->(m) p.name <> 'keanu reeves' , not (p)-[:acted_in]->()<-[:acted_in]-(:person{name:'keanu reeves'}) return p.name, count(m) rating order count(m) desc limit 3; 

which yields

p.name          | rating -------------------------- tom hanks       | 12 meg ryan        | 5 cuba gooding jr.| 4 

2: recommend actors keanu reeves' co-stars have collaborated most

match (f:person)-[:acted_in]->(m)<-[:acted_in]-(c:person), (k:person{name:'keanu reeves'}) c.name <> 'keanu reeves' , (f)-[:acted_in]->()<-[:acted_in]-(k) , not (c)-[:acted_in]->()<-[:acted_in]-(k) return c.name, count(c)  rating order rating desc limit 3; 

which yields

p.name          | rating -------------------------- danny devito    | 2 j.t. walsh      | 2 tom hanks       | 2