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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/85915


    題名: 從研究與新聞資料進行區塊鏈發展的網絡與概念連結分析;Concept Linking and Network Analysis of Blockchain Development from the Perspectives of Research and News
    作者: 陳氏飛鳳;PHUNG, TRAN THI PHI
    貢獻者: 企業管理學系
    關鍵詞: 區塊鏈;概念鏈接;網絡建模;關鍵詞共現;書目耦合;共同引用;合著;Blockchain;Concept linking;Network modeling;Keyword co-occurrence;Bibliographic coupling;Co-citation;Co-authorship
    日期: 2021-07-27
    上傳時間: 2021-12-07 11:41:54 (UTC+8)
    出版者: 國立中央大學
    摘要: 區塊鏈作為一項新興技術,正在改變各行各業,並引起學術界的興趣。然而,從方法和數據的角度來看,仍然缺乏對於區塊鏈發展的了解。因此,本研究旨在利用高質量研究論文和新聞數據,發現關鍵的隱藏模式和關係,進一步了解區塊鏈技術的發展。從 Web of Science 和 LexisNexis Academic 數據庫搜尋2016-2020 年間與區塊鏈相關的學術論文有 3,841 篇,新聞有 36,364 篇。藉由使用概念鏈接分析,本研究確定了與區塊鏈論文和新聞相關的主要概念和語義結構。雖然“技術”、“交易”、“隱私和安全”、“環境”和“共識”在研究中與區塊鏈的關係最為緊密,但“平台”、“大數據和雲端”、“網絡”、′醫療與商業′、′認證等術語′′與區塊鏈新聞息息相關。為了進一步了解區塊鏈研究和新聞的異同,本文將概念分為五種模式包含硬件與基礎設施、數據、網絡、應用和共識。此外,還進行了各種網絡建模分析如關鍵字共現、書目耦合、共同引用和共同合作關係等,以探索區塊鏈發展的不同角度的關係。這些發現有助於我們了解熱門研究主題、有影響力的作者、主要場所、出版機構和國家。本論文幫助學者和從業者全面了解區塊鏈研究的現狀及其趨勢。;As an emerging technology, blockchain is transforming a variety of industries and attracting academic interests. However, from the perspectives of methodology and data sources, in-depth understandings of blockchain development are still lacking. Hence, this dissertation aims to further understand the development of blockchain technology by discovering key hidden patterns and relationships with the data source of quality research papers and news. A total of 3,841 blockchain-related scholarly papers and 36,364 news during the period of 2016–2020 were retrieved from the Web of Science and LexisNexis Academic databases, respectively. By using concept linking analysis, this study identified the main concepts and semantic structures associated with blockchain papers and news. While ‘technology’, ‘transaction’, ‘privacy and security’, ‘environment’, and ‘consensus’ were the most strongly concepts associated with blockchain in research, terms such as ‘platform’, ‘big data and cloud’, ‘network’, ‘healthcare and business’, and ‘authentication’ were closely related to the blockchain news. To further understand the similarities and differences between blockchain research and news, this paper classified concepts into five patterns including hardware and infrastructure, data, networking, applications, and consensus. Besides, various network modeling analyses such as keyword co-occurrence, bibliographic coupling, co-citation, and co-authorship were conducted to explore different relationship perspectives of blockchain development. Such findings also helped us understand the top research topics, influential authors, leading venues, publication institutes, and countries. This dissertation assists scholars and practitioners in gaining a complete overview of the present status of blockchain research and its tendencies.
    顯示於類別:[企業管理研究所] 博碩士論文

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