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出版商:
Morgan & Claypool
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出版日期:
2015-02-01
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售價:
$2,090
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貴賓價:
9.5 折
$1,986
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語言:
英文
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頁數:
207
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裝訂:
Paperback
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ISBN:
1608459381
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ISBN-13:
9781608459384
商品描述
Citation analysis, the exploration of reference patterns in the scholarly and scientific literature, has long been applied in a number of social sciences to study research impact, knowledge flows, and knowledge networks. It has important information science applications as well, particularly in knowledge representation and in information retrieval. Recent years have seen a burgeoning interest in citation analysis to help address research, management, or information service issues such as university rankings, research evaluation, or knowledge domain visualization. This renewed and growing interest stems from significant improvements in the availability and accessibility of digital bibliographic data (both citation and full text) and of relevant computer technologies. The former provides large amounts of data and the latter the necessary tools for researchers to conduct new types of large-scale citation analysis, even without special access to special data collections. Exciting new developments are emerging this way in many aspects of citation analysis. This book critically examines both theory and practical techniques of citation network analysis and visualization, one of the two main types of citation analysis (the other being evaluative citation analysis). To set the context for its main theme, the book begins with a discussion of the foundations of citation analysis in general, including an overview of what can and what cannot be done with citation analysis (Chapter 1). An in-depth examination of the generally accepted steps and procedures for citation network analysis follows, including the concepts and techniques that are associated with each step (Chapter 2). Individual issues that are particularly important in citation network analysis are then scrutinized, namely: field delineation and data sources for citation analysis (Chapter 3); disambiguation of names and references (Chapter 4); and visualization of citation networks (Chapter 5). Sufficient technical detail is provided in each chapter so the book can serve as a practical how-to guide to conducting citation network analysis and visualization studies. While the discussion of most of the topics in this book applies to all types of citation analysis, the structure of the text and the details of procedures, examples, and tools covered here are geared to citation network analysis rather than evaluative citation analysis. This conscious choice was based on the authors' observation that, compared to evaluative citation analysis, citation network analysis has not been covered nearly as well by dedicated books, despite the fact that it has not been subject to nearly as much severe criticism and has been substantially enriched in recent years with new theory and techniques from research areas such as network science, social network analysis, or information visualization.
商品描述(中文翻譯)
引用分析,即對學術和科學文獻中參考模式的探索,長期以來已在多個社會科學領域中應用,以研究研究影響、知識流動和知識網絡。它在資訊科學中也有重要的應用,特別是在知識表示和資訊檢索方面。近年來,對引用分析的興趣日益增長,以幫助解決研究、管理或資訊服務問題,例如大學排名、研究評估或知識領域可視化。這種重新興起的興趣源於數位書目數據(包括引用和全文)的可用性和可及性的顯著改善,以及相關計算機技術的進步。前者提供了大量數據,而後者則為研究人員提供了進行新類型大規模引用分析所需的工具,即使沒有特殊的數據集訪問權限。這種方式在引用分析的許多方面出現了令人興奮的新發展。本書批判性地檢視引用網絡分析和可視化的理論及實踐技術,這是引用分析的兩種主要類型之一(另一種是評估性引用分析)。為了設定其主要主題的背景,本書首先討論引用分析的一般基礎,包括對引用分析能做什麼和不能做什麼的概述(第1章)。接下來深入檢視引用網絡分析的一般接受步驟和程序,包括與每個步驟相關的概念和技術(第2章)。然後,特別重要的引用網絡分析個別問題被仔細檢視,即:引用分析的領域劃分和數據來源(第3章);名稱和參考的消歧義(第4章);以及引用網絡的可視化(第5章)。每一章都提供了足夠的技術細節,使本書可以作為進行引用網絡分析和可視化研究的實用指南。雖然本書中大多數主題的討論適用於所有類型的引用分析,但文本的結構和所涵蓋的程序、示例和工具的細節是針對引用網絡分析而非評估性引用分析。這一有意的選擇是基於作者的觀察,即與評估性引用分析相比,引用網絡分析並未受到專門書籍的充分涵蓋,儘管事實上它並未受到如此嚴厲的批評,並且在近年來因來自網絡科學、社會網絡分析或資訊可視化等研究領域的新理論和技術而得到了實質性的豐富。