Abstract
Blockchain techniques have received extensive attention in recent years. The cryptocurrency market based on block-chain techniques is complex and unstable, vulnerable to political, economic and social factors. Existing studies focus on native cryptocurrencies, such as Bitcoin and Ethereum. However, a large number of ERC-20 tokens in the cryptocurrency market exist. ERC-20 tokens have a great market capitalization, attracting many investors’ attention. This paper proposes TokenVis, a visual analytics system, to help investors understand the evolutionary patterns of different ERC-20 standard tokens and provide explanations. The TokenVis prototype system integrates a visual analytics framework with different time granularities. We propose SegRank visualization for presenting evolutionary patterns of multiple time series and a time-based Constrained Optimization BY Linear Approximation (COBYLA) optimization algorithm to show the relationships between evolutionary patterns and news to provide explanations. We present two case studies involving the evolutionary patterns of different tokens to demonstrate the effectiveness and usability of the TokenVis prototype system.
| Translated title of the contribution | TokenVis: Visual Analytics for Evolutionary Patterns of Ethereum ERC-20 Smart Contract |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 441-454 |
| Number of pages | 14 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 52 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2024 |