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一种比特币闪电网络涌现的渗流模型。

A percolation model for the emergence of the Bitcoin Lightning Network.

机构信息

Department of Finance, Imperial College London Business School South Kensington, SW7 2AZ, London, UK.

Centre for Blockchain Technologies, University College London, London, UK.

出版信息

Sci Rep. 2020 Mar 11;10(1):4488. doi: 10.1038/s41598-020-61137-5.

Abstract

The Lightning Network is a so-called second-layer technology built on top of the Bitcoin blockchain to provide "off-chain" fast payment channels between users, which means that not all transactions are settled and stored on the main blockchain. In this paper, we model the emergence of the Lightning Network as a (bond) percolation process and we explore how the distributional properties of the volume and size of transactions per user may impact its feasibility. The agents are all able to reciprocally transfer Bitcoins using the main blockchain and also - if economically convenient - to open a channel on the Lightning Network and transact "off chain". We base our approach on fitness-dependent network models: as in real life, a Lightning channel is opened with a probability that depends on the "fitness" of the concurring nodes, which in turn depends on wealth and volume of transactions. The emergence of a connected component is studied numerically and analytically as a function of the parameters, and the phase transition separating regions in the phase space where the Lightning Network is sustainable or not is elucidated. We characterize the phase diagram determining the minimal volume of transactions that would make the Lightning Network sustainable for a given level of fees or, alternatively, the maximal cost the Lightning ecosystem may impose for a given average volume of transactions. The model includes parameters that could be in principle estimated from publicly available data once the evolution of the Lighting Network will have reached a stationary operable state, and is fairly robust against different choices of the distributions of parameters and fitness kernels.

摘要

闪电网络是一种所谓的第二层技术,建立在比特币区块链之上,为用户之间提供“链下”快速支付渠道,这意味着并非所有交易都在主区块链上结算和存储。在本文中,我们将闪电网络的出现建模为(债券)渗流过程,并探索用户每笔交易的数量和规模的分布特性如何影响其可行性。所有代理都能够使用主区块链相互转移比特币,并且如果经济上方便,也可以在闪电网络上打开一个通道并进行“离线”交易。我们的方法基于适应度相关的网络模型:与现实生活一样,闪电通道的打开概率取决于并发节点的“适应度”,而适应度又取决于财富和交易数量。作为参数的函数,通过数值和分析方法研究了连通分量的出现,并阐明了区分闪电网络可持续或不可持续的相空间区域的相变。我们描绘了确定在给定费用水平下闪电网络可持续的最小交易量的相图,或者,对于给定的平均交易量,闪电生态系统可能施加的最大成本。该模型包括可以从公开可用数据中原则上估计的参数,一旦闪电网络的发展达到稳定的可操作状态,并且对参数分布和适应度核的不同选择具有相当的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c0d/7066163/5ce4c5b5ce68/41598_2020_61137_Fig1_HTML.jpg

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