从创新到前景：加密货币背后隐藏着什么？
From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?
摘要：
自2013年以来，比特币的巨大影响力推动了基于区块链的数字货币，特别是山寨币的快速发展。然而，大多数山寨币共享相似的源代码，导致对代码创新的担忧。在本文中，对现有的山寨币进行了实证研究，以深入了解与山寨币创新相关的各个方面。首先，我们构建了山寨币的数据集，包括源代码存储库，GitHub分叉关系和市值（cap）。然后，我们从源代码相似性的角度分析了山寨币的创新。结果表明，超过85%的山寨币仓库呈现出高度的代码相似性。其次，提出了一种时态聚类算法来挖掘各种山寨币之间的继承关系。构建了山寨币的家族谱系，发现山寨币呈现出与生物学相似的进化特征，如家族规模的幂律性、家族进化的多样性等。最后，研究了代码创新与市值的相关性。虽然我们无法根据代码相似性来预测山寨币的价格，但结果表明，具有较高创新性的山寨币反映了更好的市场前景。
英文摘要：
The great influence of Bitcoin has promoted the rapid development of blockchain-based digital currencies, especially the altcoins, since 2013. However, most altcoins share similar source codes, resulting in concerns about code innovations. In this paper, an empirical study on existing altcoins is carried out to offer a thorough understanding of various aspects associated with altcoin innovations. Firstly, we construct the dataset of altcoins, including source code repositories, GitHub fork relations, and market capitalizations (cap). Then, we analyze the altcoin innovations from the perspective of source code similarities. The results demonstrate that more than 85% of altcoin repositories present high code similarities. Next, a temporal clustering algorithm is proposed to mine the inheritance relationship among various altcoins. The family pedigrees of altcoin are constructed, in which the altcoin presents similar evolution features as biology, such as power-law in family size, variety in family evolution, etc. Finally, we investigate the correlation between code innovations and market capitalization. Although we fail to predict the price of altcoins based on their code similarities, the results show that altcoins with higher innovations reflect better market prospects.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
