The tutorial part describes how use Neo4j. It takes you from Hello World to advanced usage of graphs.
Table of Contents
- 3. Introduction to Cypher
- 4. Use Cypher in an application
- 5. Basic Data Modeling Examples
- 6. Advanced Data Modeling Examples
- 6.1. ACL structures in graphs
- 6.2. Hyperedges
- 6.3. Basic friend finding based on social neighborhood
- 6.4. Co-favorited places
- 6.5. Find people based on similar favorites
- 6.6. Find people based on mutual friends and groups
- 6.7. Find friends based on similar tagging
- 6.8. Multirelational (social) graphs
- 6.9. Implementing newsfeeds in a graph
- 6.10. Boosting recommendation results
- 6.11. Calculating the clustering coefficient of a network
- 6.12. Pretty graphs
- 6.13. A multilevel indexing structure (path tree)
- 6.14. Complex similarity computations
- 6.15. The Graphity activity stream model
- 6.16. User roles in graphs
- 7. Languages