What question did this study set out to answer?

This study aims to rigorously evaluate and rank Layer-1 blockchain platforms for Web3 and the metaverse.

June 19, 2026PeerJ Computer ScienceOpen Access

Navigating the digital foundations: a multi-criteria evaluation of Layer-1 blockchains for Web3 and the metaverse

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial assesses performance of Layer-1 blockchains in Web3, highlighting strategic decision-making.

This study aims to rigorously evaluate and rank Layer-1 blockchain platforms for Web3 and the metaverse.
Utilized five multi-criteria decision-making (MCDM) methods: TOPSIS, ARAS, RAPS, RAMS, RATMI.
Determined criteria weights using the objective entropy method based on randomness.
Evaluated 10 prominent blockchain platforms across performance, security, and economic criteria.
Bitcoin consistently ranked first across all five MCDM methods, indicating its robust performance.
Hyperliquid and Sui secured the second and third positions, respectively, with strong aggregate scores.
BNB Chain and Tron showed significant ranking volatility among methods.

Bafail et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark