A Social Media App for E-Learning Powered by Neo4J

Seiha Naing

Diplomová práce

Abstract:

In this thesis, Neo4J Graph Database is chosen to be used as a data storage to create a social network application, which is a social media similar to LinkedIn but focuses on learning only, such as creating content about learning, creating courses, creating lesson content, quizzes, survey questions, sharing likes, comments, etc. The application runs on a smartphone, which is a complex application and requires an effective database design for this application. In creating a backend API for use on the client side, application developers usually choose a relational database such as MySQL or SQL Server or a NoSQL database such as MongoDB. In complex applications, particularly social networking ones, each entity establishes numerous relationships with other entities, including following, liking, sharing, commenting, and messaging, all of which become more intricate when using a relational or NoSQL database. As we already know, a relational database needs many join tables to be able to query such interconnected data. According to all these problems with the use of both relational databases and NoSQL databases, we observe that graph databases, a new technology that has received a lot of attention, can be used to solve them. With the creation of a social networking application, the main function of this study will be built on the strength of Neo4J AuraDB Cloud to demonstrate the scope of Graph Database in creating very complex applications. The creation of this application will also show that Graph Database will be a technology that can be used to create a backend API for use on the general client side like other database technologies. In addition, it is easy to create and highly efficient for all tasks; no matter how small or complex, a graph database can handle it all.

Keywords

Graph Database, iOS, Neo4J, Android, REST API, React Native, Node.js, Express.js, Cypher Query Language

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 1. 4. 2025

Obhajoba závěrečné práce

• Obhajoba proběhla 5. 6. 2025
• Vedoucí: doc. Ing. Vojtěch Merunka, Ph.D.
• Oponent: Martin Molhanec, Bc., externi

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Magisterský studijní program:
Informatics