Corpus ID: 17523312

Graph Database Applications and Concepts with Neo4j

@inproceedings{Miller2013GraphDA,
  title={Graph Database Applications and Concepts with Neo4j},
  author={Justin J. Miller},
  year={2013}
}
Graph databases (GDB) are now a viable alternative to Relational Database Systems (RDBMS). Chemistry, biology, semantic web, social networking and recommendation engines are all examples of applications that can be represented in a much more natural form. Comparisons will be drawn between relational database systems (Oracle, MySQL) and graph databases (Neo4J) focusing on aspects such as data structures, data model features and query facilities. Additionally, several of the inherent and… Expand
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References

SHOWING 1-10 OF 21 REFERENCES
Survey of graph database models
Gram: a graph data model and query languages
A relational model of data for large shared data banks
The Graph Traversal Pattern
Pregel: a system for large-scale graph processing
Constructions from Dots and Lines
Why social networks are different from other types of networks.
  • M. Newman, Juyong Park
  • Mathematics, Physics
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2003
...
1
2
3
...