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Journals / Fırat Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 37 Sayı: 1

Modeling Academic Data with Neo4j Graph Database

Akademik Verilerin Neo4j Çizge Veritabanı ile Modellenmesi

Berna Çengiz(FIRAT ÜNİVERSİTESİ)0000-0002-1564-0604
Faysal Elbeg(FIRAT ÜNİVERSİTESİ)0009-0002-3912-1873
Mehmet Özdem(Türk Telekom)0000-0002-2901-2342
Resul Daş(FIRAT ÜNİVERSİTESİ)0000-0002-6113-4649
Pages
275–291
Publication Date
2025-03-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, this study demonstrates that Neo4j is a powerful tool for visualising educational and research data.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The amount of data generated by the technology that is evolving every day is reaching gigantic pro- portions.
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Key Findings & Data:This study deals with the use of Neo4j graph database in order to make a comprehensive data visualisation about existing universities and academics in Turkey.
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Conclusion & Impact:In conclusion, this study demonstrates that Neo4j is a powerful tool for visualising educational and research data.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Neo4j · Çizge Modelleme · Akademik ağlar

Abstract

The amount of data generated by the technology that is evolving every day is reaching gigantic pro- portions. Data, together with its relationship to other data, forms the most powerful and meaningful information. One of the remarkable points is that the relationship between data is more important than the data itself. These relationships are handled efficiently by relational databases. However, handling large amounts of data with their relationships is a tedious process. Graph databases simplify the entities and relationships of relational databases with the nodes and relationships of graph databases. This study deals with the use of Neo4j graph database in order to make a comprehensive data visualisation about existing universities and academics in Turkey. With the data obtained from the Council of Higher Education (YÖK), 2191 nodes and 2124 relationships between nodes are created and the relationships between universities, academic units and academics are visualised. The study aims to provide a better understanding of academic networks. In the study, the development process of the application, data collection methods, technical tools used and analysis methods are presented in detail. The findings allow for a more effective analysis and visual modelling of the academic structure in Turkey. In conclusion, this study demonstrates that Neo4j is a powerful tool for visualising educational and research data.

Özet

Her geçen gün gelişen teknoloji ile, üretilen veri miktarı devasa boyutlara ulaşmaktadır. Veri, diğer verilerle olan ilişkisiyle birlikte en güçlü ve anlamlı bilgiyi oluşturur. Veriler arasındaki ilişkinin verinin kendisinden daha önemli olması dikkat çeken noktalardan biridir. Bu ilişkiler, İlişkisel veritabanları tarafından verimli bir şekilde ele alınır. Ancak büyük miktarda veriyi ilişkileriyle birlikte ele almak sıkıcı bir süreçtir. Çizge Veritabanları, İlişkisel veritabanlarındaki varlıklar ve ilişkileri, çizge veritabanlarındaki düğümler ve ilişkiler ile daha basite indirgemektedir. Bu makale, Türkiye’deki üniversiteler ve akademisyenler hakkında kapsamlı bir veri görselleştirme aracı geliştirmek için Neo4j graf veritabanının kullanımını ele almaktadır. Yükseköğretim Kurulu (YÖK) tarafından sağlanan veriler kullanılarak, üniversiteler, akademik birimler ve akademisyenler arasındaki ilişkiler görselleştirilmiştir. Çalışma, akademik ağların daha iyi anlaşılmasını sağlamayı ve araştırmacılar, eğitim yöneticileri ve politika yapıcılar için değerli içgörüler sunmayı amaçlamaktadır. Uygulamanın geliştirilme süreci, veri toplama yöntemleri, kullanılan teknik araçlar ve analiz yöntemleri detaylı olarak sunulmaktadır. Elde edilen bulgular, Türkiye’deki akademik yapının ve araştırma işbirliklerinin daha etkili bir şekilde analiz edilmesine olanak tanımaktadır. Sonuç olarak, bu çalışma Neo4j’nin eğitim ve araştırma verilerinin görselleştirilmesi için güçlü bir araç olduğunu ortaya koymaktadır.

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Cite This Article

Çengiz, B., Elbeg, F., Özdem, M., Daş, R. (2025). Modeling Academic Data with Neo4j Graph Database. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 37 Sayı: 1, 275–291. https://doi.org/10.35234/fumbd.1514538

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