This may not be a canonical application of a data model, but expressing graph queries using "Cypher", the graph query language invented by Neo4j, is very intuit

This may not be a canonical application of a data model, but expressing graph queries using "Cypher", the graph query language invented by Neo4j, is very intuitive to my mind. I find the use of ASCII art to help visualize the relationships welcome. For example, say we have a graph of movies, actors, reviewers, producers, etc. Here's Cypher query that returns the names of people who reviewed movies and the actors in these movies MATCH (r:Person)-[rev:REVIEWED]->(m:Movie)<-[:ACTED_IN]-(a:Person) RETURN DISTINCT r.name AS Reviewer, m.title AS Title, m.released AS Year, rev.rating AS Rating, collect(a.name) AS Actors Another example: You want to know what actors acted in movies in the decade starting with the year 1990 MATCH (p:Person)-[:ACTED_IN]->(m:Movie) WHERE 1990 <= m.released <= 1999 RETURN m.released, collect(m.title) as titles, collect(p.name) as actors ORDER BY m.released