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A Robust Blockchain Readiness Index Model
arXiv - CS - Cryptography and Security Pub Date : 2021-01-20 , DOI: arxiv-2101.09162
Elias Iosif, Klitos Christodoulou, Andreas Vlachos

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.

中文翻译:

稳健的区块链就绪指数模型

随着区块链生态系统的成熟,许多企业,投资者和企业家都在寻找与区块链系统和加密货币合作的机会。这些参与者的关键挑战是确定最合适的环境来启动或发展其业务。总的来说,问题是确定哪些国家提供最合适的条件来主持其基于区块链的活动并实施其创新项目。区块链就绪指数(BRI)提供了一个数字指标(称为区块链就绪分数),用于衡量一个国家采用区块链和加密货币的成熟度/就绪程度。通过这样做,BRI可以利用信息检索中的技术,通过算法得出一组国家的指数排名。该指数考虑了根据以下五个支柱组织的一系列指标:政府法规,研究,技术,行业和用户参与度。在本文中,即使在缺少指标信息的情况下,我们也可以在国家一级扩展BRI的能力。为此,我们提出了两种加权方案,即线性加权和S形加权,以完善指标值的初始估计。使用分类框架来评估所开发技术的有效性,该技术产生了显着的分类准确性。即使在缺少指标信息的情况下,我们也可以在国家一级扩展BRI的能力。为此,我们提出了两种加权方案,即线性加权和S形加权,以完善指标值的初始估计。采用分类框架来评估所开发技术的有效性,该技术产生了显着的分类精度。即使在缺少指标信息的情况下,我们也可以在国家一级扩展BRI的能力。为此,我们提出了两种加权方案,即线性加权和S形加权,以完善指标值的初始估计。使用分类框架来评估所开发技术的有效性,该技术产生了显着的分类准确性。
更新日期:2021-01-25
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