As you may already know, the graph theory gives us many different graphs to work with. Graphs come in many different shapes and sizes, and therefore, Neo4j needed to choose a very specific type of data structure that is flexible enough to support the versatility required by real-world datasets. This is why the underlying data model of Neo4j, the labeled property graph, is one of the most generic and versatile of all graph models.
This graph data model gives us four different fundamental building blocks to structure and store our data. Let's go through them:
The labeled property graph model
- Nodes: These are typically used to store entity information. In the preceding example, these are individual books, readers, and authors that are present in the library data model.
- Relationships: These are used to connect nodes to one another explicitly and therefore provide a means of structuring your entities. They are the equivalent of an explicitly stored and precalculated...
