Network Analysis Literacy

A Practical Approach to the Analysis of Networks

  • Katharina A. Zweig

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Katharina A. Zweig
      Pages 3-22
    3. Katharina A. Zweig
      Pages 57-88
  3. Methods

    1. Front Matter
      Pages 89-89
    2. Katharina A. Zweig
      Pages 91-108
    3. Katharina A. Zweig
      Pages 109-148
    4. Katharina A. Zweig
      Pages 149-181
    5. Katharina A. Zweig
      Pages 183-214
    6. Katharina A. Zweig
      Pages 215-242
    7. Katharina A. Zweig
      Pages 243-276
  4. Literacy

    1. Front Matter
      Pages 277-277
    2. Katharina A. Zweig
      Pages 279-311
    3. Katharina A. Zweig
      Pages 313-361
    4. Katharina A. Zweig
      Pages 363-393
    5. Katharina A. Zweig
      Pages 395-429
    6. Katharina A. Zweig
      Pages 431-474
    7. Katharina A. Zweig
      Pages 475-485
  5. Back Matter
    Pages 487-535

About this book


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.


Complex network analysis Network science Centrality in netowrks Network motifs Random graph models Ethics of complex networks analysis Network analytic measures

Authors and affiliations

  • Katharina A. Zweig
    • 1
  1. 1.Graph Theory and Analysis of Complex NetworksTU Kaiserslautern, FB Computer Science, Graph Theory and Analysis of Complex NetHeidelbergGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Austria 2016
  • Publisher Name Springer, Vienna
  • eBook Packages Computer Science
  • Print ISBN 978-3-7091-0740-9
  • Online ISBN 978-3-7091-0741-6
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site
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IT & Software