【Author】
Maesa, Damian Di Francesco; Marino, Andrea; Ricci, Laura
【Source】PROCEEDINGS OF 3RD IEEE/ACM INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS, (DSAA 2016)
【Abstract】BITCOIN is a novel decentralized cryptocurrency system which has recently received a great attention from a wider audience. An interesting and unique feature of this system is that the complete list of all the transactions occurred from its inception is publicly available. This enables the investigation of funds movements to uncover interesting properties of the BITCOIN economy. In this paper we present a set of analyses of the user graph, i.e. the graph obtained by an heuristic clustering of the graph of BITCOIN transactions. Our analyses consider an up-to-date BITCOIN blockchain, as in December 2015, after the exponential explosion of the number of transactions occurred in the last two years. The set of analyses we defined includes, among others, the analysis of the time evolution of BITCOIN network, the verification of the rich get richer conjecture and the detection of the nodes which are critical for the network connectivity.
【摘要】比特币是一种新颖的去中心化加密货币系统，最近受到了更广泛的关注。这个系统的一个有趣且独特的特性是，从一开始发生的所有交易的完整列表都是公开的。这使得对资金流动的调查能够揭示比特币经济的有趣属性。在本文中，我们给出了一组用户图的分析，即通过启发式聚类获得的比特币交易图。我们的分析考虑了最新的比特币区块链，如2015年12月，在过去两年发生的交易数量的指数爆炸。我们定义的这组分析包括比特币网络的时间演化分析、富得富猜想的验证以及对网络连接性至关重要的节点的检测。
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