Tutorials
The tutorial part describes how use Neo4j. It takes you from Hello World to advanced usage of graphs.
Table of Contents
- 4. Getting started with Cypher
- 5. Data Modeling Examples
- 5.1. Linked Lists
- 5.2. TV Shows
- 5.3. ACL structures in graphs
- 5.4. Hyperedges
- 5.5. Basic friend finding based on social neighborhood
- 5.6. Co-favorited places
- 5.7. Find people based on similar favorites
- 5.8. Find people based on mutual friends and groups
- 5.9. Find friends based on similar tagging
- 5.10. Multirelational (social) graphs
- 5.11. Implementing newsfeeds in a graph
- 5.12. Boosting recommendation results
- 5.13. Calculating the clustering coefficient of a network
- 5.14. Pretty graphs
- 5.15. A multilevel indexing structure (path tree)
- 5.16. Complex similarity computations
- 5.17. The Graphity activity stream model
- 5.18. User roles in graphs
- 6. Languages