【Author】
Huang, Butian; Liu, Zhenguang; Chen, Jianhai; Liu, Anan; Liu, Qi; He, Qinming
【Source】MULTIMEDIA TOOLS AND APPLICATIONS
【Abstract】Blockchain holds promise for being the revolutionary technology, which has the potential to find applications in numerous fields such as digital money, clearing, gambling and product tracing. However, blockchain faces its own problems and challenges. One key problem is to automatically cluster the behavior patterns of all the blockchain nodes into categories. In this paper, we introduce the problem of behavior pattern clustering in blockchain networks and propose a novel algorithm termed BPC for this problem. We evaluate a long list of potential sequence similarity measures, and select a distance that is suitable for the behavior pattern clustering problem. Extensive experiments show that our proposed algorithm is much more effective than the existing methods in terms of clustering accuracy.
【Keywords】Blockchain technology; Behavior pattern clustering; Clustering; Sequences
【摘要】区块链有望成为一项革命性的技术，它有可能在数字货币、清算、赌博和产品追踪等众多领域找到应用。然而，区块链也面临着自身的问题和挑战。一个关键问题是自动将所有区块链节点的行为模式归类。本文介绍了区块链网络中的行为模式聚类问题，并提出了一种新的聚类算法BPC。我们评估了一长串潜在的序列相似性度量，并选择了一个适合于行为模式聚类问题的距离。大量实验表明，该算法在聚类精度方面比现有算法有更大的提高。
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