Neo4j Graph Database Implementation for LinkedIn

Authors

  • Punam Nikam  Department of Computer Science, MIT-WPU, Pune, Maharashtra, India
  • Sachin Bhoite  Department of Computer Science, MIT-WPU, Pune, Maharashtra, India
  • Anuj Shenoy  Department of Computer Science, MIT-WPU, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT206665

Keywords:

Neo4j, Graph Database, Computer Science, LinkedIn, Information Technology

Abstract

The presented article mainly circumspect the idea for the use and implementation of graph database in the most social media of today. Currently many companies are using neo4j graph database for their workouts for data management. We shall stick with social media for this particular paper. We have used neo4j graph database for maintaining data of LinkedIn user and pages in a very systematic manner. Facebook and Twitter do currently use graph databases so we thought of implementing the same for LinkedIn.

References

  1. Bangera, The Neo4j Cypher Manual v4.2 (https://neo4j.com/docs/cypher-manual/current/)
  2. Neo4j Official Documentation (https://neo4j.com/docs/)

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-12-30

Issue

Volume 6, Issue 6, November-December-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Punam Nikam, Sachin Bhoite, Anuj Shenoy, " Neo4j Graph Database Implementation for LinkedIn " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 6, pp.339-342, November-December-2020. Available at doi : https://doi.org/10.32628/CSEIT206665