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Part II. 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

4.1. Create nodes and relationships
4.2. Movie Database
4.3. Social Movie Database
4.4. Finding Paths
4.5. Labels, Constraints and Indexes

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

6.1. How to use the REST API from Java

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