= The Publication Graph

In the world of publications and CMSes, meta-data about different articles, authors, issues and other entities lends itself very obviously to a graph.
This example is modeling just a small subset of a fictive domain in this area.

== Prepare the schema, make `Person` unique

[source,cypher]
----
CREATE CONSTRAINT ON (p:Person) ASSERT p.handle IS UNIQUE
----


== Insert some basic data

[source,cypher]
----
CREATE 
  (JM_DE:Publication{name:'Java Magazin', language:'DE'}),
  (JM_DE)<-[:ISSUE_OF]-(JMNov2013{month:11, title:'Java Magazin 11/2013'})-[:IN_YEAR]->(_2013{year:2013}),
  (Neo4j20Tutorial:Content{title:'Neo4j 2.0 Tutorial'}),
  (SnS:Publisher{name:'S&S Media'})-[:PUBLISHES]->(JM_DE),
  (JMNov2013)-[:CONTAINS]->(Neo4j20Tutorial),
  (Olli:Reader{name:'Oliver Meyer',handle:'@olli'})-[:RATED{rating:4}]->(Neo4j20Tutorial),
  (MH:Author:Reader{name:'Michael Hunger',handle:'@mesirii'})-[:AUTHORED]->(Neo4j20Tutorial),
  (Neo4j20Tutorial)-[:RELATED_TO]->(Neo4j20Rel:Content{title:'Neo4j 2.0-M05 released'})-[:TAGGED]->(NoSQL:Tag{name:'NOSQL'}),
  (Neo4j20Tutorial)-[:TAGGED]->(NoSQL),
  (Neo4j20Tutorial)-[:TAGGED]->(:Tag{name:'tutorial'}),
  (Neo4j20Tutorial)-[:TAGGED]->(:Tag{name:'Neo4j'})
----

//graph

== Find all articles in 2013 tagged with `NOSQL`

[source,cypher]
----
MATCH
  (year)<-[:IN_YEAR]-(issue)-[:ISSUE_OF]->(pub:Publication),
  (issue)-[:CONTAINS]->(content:Content)-[:TAGGED]->(nosql:Tag)
WHERE 
  year.year = 2013 AND
  nosql.name='NOSQL'
RETURN
  content.title as Title, issue.title as Issue, pub.name as Publication
----

//table