论文标题
评估重大事件对比特币区块链网络的整体影响
Assessing Holistic Impacts of Major Events on the Bitcoin Blockchain Network
论文作者
论文摘要
作为区块链技术的先驱，比特币是迄今为止最受欢迎的加密货币。鉴于其戏剧性的价格峰值（和崩溃）以及从SEC法规到安全违规的无休止的新闻，似乎对加密货币的动态缺乏了解。这些动态被认为会受到各种政治，安全，财务和监管事件的影响。在本文中，我们提出了一个有效的框架，用于通过引入撞击得分度量标准来区分事件引起的变化与正常变化，以整体分析加密货币波动。我们已将框架应用于2016年至2018年的16个主要全球事件和比特币区块链网络（定义为比特币事务和用户，区块链数据和内存池数据）。结果表明，大多数事件与大量网络变化相关。我们观察到事件类型（例如财务事件）与比特币区块链网络的子结构之间的大致相关性。这些事件的亚组对比特币生态系统的特定方面（例如活动或费用）具有强烈一致的时间影响。此外，我们通过将网络/子网络变化中的大多数尖峰与重大事件相关联，证明了过程的鲁棒性。
As the pioneer of blockchain technology, Bitcoin is the most popular cryptocurrency to date. Given its dramatic price spikes (and crashes) along with the never-ending news from SEC regulations to security breaches, there seems to be a lack of understanding about the dynamics of cryptocurrencies. These dynamics are believed to be affected by various political, security, financial, and regulatory events. In this paper, we present an efficient framework for holistic analysis of cryptocurrency fluctuations by introducing the Impact-Score metric to distinguish event-induced changes from normal variations. We have applied our framework to 16 major worldwide events and the Bitcoin blockchain network (defined as Bitcoin transaction and users, blockchain data, and memory pool data) from 2016-2018. The results show that a majority of the events are correlated with substantial network changes. We observed roughly generalizable correlations between event types (e.g. financial events) and sub-structures of the Bitcoin blockchain network. Subgroups of these events have strongly consistent temporal impacts on specific facets (e.g. activity or fees) of the Bitcoin ecosystem. Furthermore, we demonstrate the robustness of our process by correlating a majority of spikes in network/subnetwork change with major events.
