Network Analysis Literacy: A Practical Approach to the Analysis of Networks (Lecture Notes in Social Networks)
暫譯: 網路分析素養:網路分析的實用方法(社會網路講義)

Katharina A. Zweig

  • 出版商: Springer
  • 出版日期: 2016-10-27
  • 售價: $5,910
  • 貴賓價: 9.5$5,615
  • 語言: 英文
  • 頁數: 535
  • 裝訂: Hardcover
  • ISBN: 3709107407
  • ISBN-13: 9783709107409
  • 海外代購書籍(需單獨結帳)

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商品描述

This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of  entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy – the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy – understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation – are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise.

商品描述(中文翻譯)

本書提供了一種網路分析的視角,作為一種工具來尋找和量化不同類型實體之間互動模式中的重要結構。此外,網路分析提供了將這些結構與實體屬性相關聯的基本手段。它已被證明對於生物和社會網路的分析非常有用,同時也適用於描述經濟、心理學、地理學及其他各個領域的複雜系統的網路。如今,開源平台 R 及其他開源軟體專案中的網路分析套件使來自各個領域的科學家能夠快速將網路分析方法應用於他們的數據集。總體而言,這些應用提供了如此豐富的網路分析方法,以至於對於剛進入這個領域的人來說可能會感到不知所措。本書提供了一個穿越這片網路分析方法叢林的路線圖,並提供建議,幫助讀者選擇最適合特定網路分析專案的方法,以及如何避免常見的陷阱。它介紹了最常用於分析複雜網路的方法,例如不同的全球網路度量、隨機圖模型類型、中心性指數和網路模式。除了介紹這些方法外,本書的核心重點在於網路分析素養——即決定何時使用這些方法中的哪一種來解決哪類問題的能力。此外,本書旨在提高讀者閱讀網路分析原始文獻的能力,通過提供詞彙表和將正式符號及數學符號翻譯成日常用語的方式來實現。網路分析素養的不同方面——理解正式定義、編程任務或結構度量的分析及其解釋——在各種練習中得到了深入探討,並提供了解答。本書是所有希望利用網路分析的力量來增強其專業領域的科學家的絕佳起點,甚至可以說是最佳起點。