商品描述
This handbook delves into the multifaceted domain of blockchain technology and its applications, offering insights across technological, economic, and practical dimensions. It is divided into several parts, reflecting analysis techniques specific to different fields of application, including digital finance, security and supply chains, among others. The book begins with a foundational exploration of blockchain technology, providing a comprehensive understanding of its core mechanisms. The analysis extends to cutting-edge topics such as Non-Fungible Tokens (NFTs) and visualization technologies, which reveal the dynamic interplay between digital assets and technological innovation. Cryptocurrency liquidity and market dynamics are also examined, employing principles like Metcalfe's Law and Log-Periodic Power Laws to unravel complex market behaviors. Empirical studies shed light on volatility forecasting and the impact of sudden market jumps, enriching the predictive frameworks for cryptocurrency trading. In the realm of blockchain analytics, advanced methodologies like process mining are applied to uncover patterns in blockchain applications, while network analytics provide tools for fraud detection and heuristic evaluation. Decision-making in blockchain transactions is explored through the lens of mempool dynamics, providing practical insights for optimizing blockchain operations. The narrative extends to business applications, highlighting strategies for blockchain-driven development and the legal and financial implications of Distributed Ledger Technology (DLT). Blockchain's transformative potential in healthcare is showcased, alongside a survey of federated learning frameworks that leverage blockchain for secure and decentralized machine learning. Security remains a pivotal theme, with a focus on the role of blockchain in cybersecurity and compliance functions. The investigation addresses decentralized finance (DeFi) vulnerabilities through case studies on attacks, offering lessons to enhance system robustness. Finally, the text envisions a future where decentralized models democratize foundational technologies, and blockchain facilitates innovations in maritime supply chains, driving efficiency and transparency in global logistics. This compilation serves as a gateway to understanding the theoretical and practical dimensions of blockchain, emphasizing its evolving role in reshaping industries and economic systems.
商品描述(中文翻譯)
本手冊深入探討區塊鏈技術及其應用的多面向領域，提供技術、經濟和實務層面的見解。內容分為幾個部分，反映針對不同應用領域的分析技術，包括數位金融、安全性和供應鏈等。
本書首先對區塊鏈技術進行基礎探索，提供對其核心機制的全面理解。分析延伸至前沿主題，如非同質化代幣（Non-Fungible Tokens, NFTs）和可視化技術，揭示數位資產與技術創新之間的動態互動。
本書還檢視加密貨幣的流動性和市場動態，運用梅特卡夫定律（Metcalfe's Law）和對數周期功率法則（Log-Periodic Power Laws）等原則來解開複雜的市場行為。實證研究闡明了波動性預測和突發市場跳躍的影響，豐富了加密貨幣交易的預測框架。
在區塊鏈分析領域，應用先進的方法論如流程挖掘（process mining）來揭示區塊鏈應用中的模式，而網絡分析則提供了詐騙檢測和啟發式評估的工具。區塊鏈交易中的決策過程透過記憶池動態（mempool dynamics）進行探討，提供優化區塊鏈操作的實務見解。
敘述延伸至商業應用，強調區塊鏈驅動開發的策略以及分散式帳本技術（Distributed Ledger Technology, DLT）的法律和財務影響。區塊鏈在醫療保健中的變革潛力也得以展示，並調查利用區塊鏈進行安全和去中心化機器學習的聯邦學習框架。
安全性仍然是核心主題，重點在於區塊鏈在網絡安全和合規功能中的角色。調查通過案例研究攻擊來解決去中心化金融（DeFi）的脆弱性，提供增強系統穩健性的教訓。最後，文本展望未來，預見去中心化模型將使基礎技術民主化，並促進區塊鏈在海運供應鏈中的創新，推動全球物流的效率和透明度。
本書彙編作為理解區塊鏈理論和實務層面的入門，強調其在重塑產業和經濟系統中的不斷演變角色。
作者簡介
Cathy Yi-Hsuan Chen is a Professor at Adam Smith Business School at the University of Glasgow, UK and Senior Researcher in Institute Digital Assets, Academy of Economic Sciences, Bucharest. Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Emeritus Professor of Statistics at the Humboldt-Universität zu Berlin, Germany and the Director of IDA, Institute Digital Assets, Academy of Economic Sciences, Bucharest, Romania and Yushan Scholar, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Henry Horng-Shing Lu is a Distinguished Professor in Kaohsiung Medical University, and National Yang Ming Chiao Tung University, Taiwan. He is the Dean of Biomedical Artificial Intelligence Academy in Kaohsiung Medical University. He is also an Adjunct Professor, Department of Statistics and Data Science, Cornell University, New York, USA.
作者簡介(中文翻譯)
陳怡萱是英國格拉斯哥大學亞當史密斯商學院的教授，以及布加勒斯特經濟科學院數位資產研究所的高級研究員。 沃爾夫岡·卡爾·哈德爾是德國柏林洪堡大學的拉迪斯勞斯·馮·博特基維奇榮譽統計學教授，也是布加勒斯特經濟科學院數位資產研究所的主任，以及台灣新竹國立陽明交通大學的玉山學者。 盧鴻興是高雄醫學大學及國立陽明交通大學的特聘教授。他是高雄醫學大學生物醫學人工智慧學院的院長，同時也是美國紐約康奈爾大學統計與數據科學系的兼任教授。
