| 摘要: |
| 区块链技术自诞生之日便引起了各界的关注，随着数字经济的发展，这类交易匿名、去中心化且技术相对安全的区块链网络技术逐渐被人们熟悉了解。区块链技术的首次出现刺激了更多功能和需求的区块链网络的产生与发展。相较于传统货币，数字资产具有独一无二的优势。近年来，以区块链为核心技术的数字资产价值动荡起伏，新闻媒体争相报道也对数字资产的价值起到了推波助澜的作用。随着数字资产社区的逐渐扩大，人们逐渐意识到了数字资产的价值所在，但投资数字资产会面临各种风险。本文旨在以基于工作量证明（PoW）机制的区块链网络为代表，对数字资产价值走势进行全面系统的分析。通过对数字资产获取方式的调研，结合市场历年价格的行情分析，以“人类行为学”和“实证主义”相结合的方式，解析出基于PoW机制的区块链的价值分析方法。 |
| 关键词: 区块链 工作量证明 价值分析 |
| DOI：10.19363/j.cnki.cn10-1380/tn.2018.05.04 |
| 投稿时间：2018-01-31修订日期：2018-04-28 |
| 基金项目:国家自然科学基金面上项目（NO.61772538）资助。 |
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| Blockchain Estimation Model Based on PoW Mechanism |
| WANG Shuai,QIN Bo,CHEN Jinchuan,JI Siyu,ZHANG Shitong |
| School of Information, Renmin University of China, Beijing 100872, China |
| Abstract: |
| Blockchain technology has aroused the public's attention since its birth. With the development of the digital economy, such Blockchain network technologies with anonymous transactions, decentralized and relatively secure technologies,have become increasingly familiar to people. The first appearance of Blockchain technology has stimulated the emergence and development of Blockchain networks with more functions and requirements. Digital assets have unique advantages over traditional currencies. In recent years, the value of digital assets with Blockchain as the core technology has been ups and downs, and news media rushing to report on it has also contributed to the value of digital assets. With the gradual expansion of digital asset communities, people are increasingly aware of the value of digital assets, but investing in digital assets faces various risks. This article aims to take a Blockchain network based on the proof-of-work (PoW) mechanism as a representative to conduct a comprehensive and systematic analysis of the value of digital assets. By investigating the way of acquiring digital assets and combining the market price analysis over the years, we analyzed the Blockchain value analysis method based on the PoW mechanism in a combination of “human behavior” and “positivism”. |
| Key words: blockchain proof of work price analysis |
