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this is the title

MATCH (n) RETURN n

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The case for CASE

This is how you might model Premier League managers tenures at different clubs in Neo4j:

The date modeling is based on an approach described in more detail in Return partly shared path ranges.

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Finding Paths

Our example graph consists of movies with title and year and actors with a name. Actors have ACTS_IN relationships to movies, which represents the role they played. This relationship also has a role attribute.

We queried and updated the data so far, now let’s find interesting constellations, a.k.a. paths.

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Social Movie Database

Our example graph consists of movies with title and year and actors with a name. Actors have ACTS_IN relationships to movies, which represents the role they played. This relationship also has a role attribute.

So far, we queried the movie data; now let’s update the graph

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Movie Database

Our example graph consists of movies with title and year and actors with a name. Actors have ACTS_IN relationships to movies, which represents the role they played. This relationship also has a role attribute.

We’ll go with three movies and three actors:

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Orienteering Gist

This is the Orienteering Dataset based on the blog.neo4j.org post.

It’s a simple, three-leg training course in an Antwerp park. Setting this up as a graph in neo4j was easy enough:

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Develop a Graph

There are Three APIs…​

Neo4j has a trio of programming interfaces, focused on different kinds of interaction.

• Work with the Cypher query language over HTTP.

• Discover raw graph primitives over REST.

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= Business Rule / Recommendation gist =
 
Let's see if I can create a graphgist for business rules/simple recommendations.

//console

First, lets create the graph:

//setup 
[source,cypher]

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`CREATE UNIQUE` will make sure we don't create duplicate patterns.
Using this: `[r:ACTED_IN]` lets us return the relationship.

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Create nodes and relationships

Create a node for the actor Tom Hanks:

CREATE (n:Actor {name:"Tom Hanks"});