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A simple GraphGist

You create a GraphGist by creating a GitHub Gist in AsciiDoc and enter the URL to it in the form on this page.

Click on the Page Source button in the menu to see the source for this GraphGist!

Include a query console

//console

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Create nodes and relationships

Create a node for the actor Tom Hanks:

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

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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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= 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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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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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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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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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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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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this is the title

MATCH (n) RETURN n