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arXiv 2101.09162cs.CRcs.LG
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一个健壮的区块链就绪指数模型

A Robust Blockchain Readiness Index Model

Institute For the Future (IFF)(未来研究所);University of Nicosia(尼科西亚大学)

Elias Iosif, Klitos Christodoulou, Andreas Vlachos

摘要:

随着区块链生态系统变得越来越成熟,许多企业、投资者和企业家都在寻求与区块链系统和加密货币合作的机会。这些行为者面临的一个关键挑战是确定最适合创业或发展企业的环境。总的来说,问题是确定哪些国家提供最合适的条件来举办基于区块链的活动并实施其创新项目。区块链准备指数(BRI)提供了一个数字指标(称为区块链准备得分),用于衡量一个国家在采用区块链和加密货币方面的成熟度/准备程度。在此过程中,BRI利用信息检索技术,通过算法得出一组国家的指数排名。该指数考虑了根据五大支柱组织的一系列指标:政府监管,研究,技术,行业和用户参与度。在本文中,我们进一步扩展了“一带一路”倡议的能力,即使在指标信息缺失的情况下,也可以在国家层面上得出指数。为此,我们提出了两种加权方案,即线性加权和S形加权,用于改进指标值的初始估计。一个分类框架被用来评估所开发的技术,产生了显着的分类精度的有效性。

英文摘要:

As the blockchain ecosystem gets more mature many businesses, investors, and entrepreneurs are seeking opportunities on working with blockchain systems and cryptocurrencies. A critical challenge for these actors is to identify the most suitable environment to start or evolve their businesses. In general, the question is to identify which countries are offering the most suitable conditions to host their blockchain-based activities and implement their innovative projects. The Blockchain Readiness Index (BRI) provides a numerical metric (referred to as the blockchain readiness score) in measuring the maturity/readiness levels of a country in adopting blockchain and cryptocurrencies. In doing so, BRI leverages on techniques from information retrieval to algorithmically derive an index ranking for a set of countries. The index considers a range of indicators organized under five pillars: Government Regulation, Research, Technology, Industry, and User Engagement. In this paper, we further extent BRI with the capability of deriving the index - at the country level - even in the presence of missing information for the indicators. In doing so, we are proposing two weighting schemes namely, linear and sigmoid weighting for refining the initial estimates for the indicator values. A classification framework was employed to evaluate the effectiveness of the developed techniques which yielded to a significant classification accuracy.

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。

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