Metaverse financial transactions dataset: a comprehensive analysis

Authors

  • Alimul Haque Department of Computer Science, Veer Kunwar Singh University, Ara - 802301, India Author
  • Deepa Sonal Department of Computer Science, Patna Women's College, Patna, India Author
  • Kiran Dubey Department of Physics, Jamshedpur Cooperative College, Jamshedpur, India Author

DOI:

https://doi.org/10.71459/edutech202414

Keywords:

Blockchain, Artificial Intelligence, Virtual reality (VR), Augmented reality (AR)

Abstract

Introduction; The rapid evolution of the Metaverse—a convergence of immersive technologies including augmented reality (AR), virtual reality (VR), and blockchain—has created a dynamic ecosystem for digital commerce. 
Objective; This study presents a comprehensive analysis of financial transactions within leading Metaverse platforms such as Decentraland, The Sandbox, and Axie Infinity, examining evolving economic behaviors, payment mechanisms, and associated risks. 
Method; We develop a structured transactional dataset that captures spending patterns, cryptocurrency adoption trends, and emerging security vulnerabilities unique to virtual environments. 
Result; Our findings reveal distinct economic activities ranging from virtual land acquisitions to NFT-based asset trading, while highlighting critical challenges including fraud susceptibility and regulatory gaps. The compiled dataset provides researchers with a robust foundation for investigating digital economic systems, evaluating blockchain applications, and developing AI-powered transaction monitoring tools. 
Conclusion; This work contributes to broader discussions about establishing secure, transparent financial frameworks for Web3 environments, offering actionable insights for policymakers, platform developers, and economic analysts navigating the complexities of virtual economies.

References

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Published

2024-12-31

How to Cite

Haque, A., Sonal, D., & Dubey, K. (2024). Metaverse financial transactions dataset: a comprehensive analysis. Edu - Tech Enterprise, 2, 14. https://doi.org/10.71459/edutech202414