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Network Analysis Literacy A Practical Approach to the Analysis of Networks
Author
Title
Network Analysis Literacy [electronic resource] : A Practical Approach to the Analysis of Networks / by Katharina A. Zweig.
ISBN
9783709107416
Publication
Vienna : Springer Vienna : Imprint: Springer, 2016.
Physical Description
XXIII, 535 p. 126 illus., 14 illus. in color : online resource.
Local Notes
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Summary
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.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
November 01, 2016
Series
Lecture Notes in Social Networks,
Contents
Dedication
Preface
Part I Introduction
A First Encounter
Graph Theory, Social Network Analysis, and Network Science
Definitions
Part II Methods
Classic Network Analytic Measures
Network Representations of Complex Systems
Random Graphs and Network Models
Random Graphs as Null Models
Understanding and Designing Network Measures
Centrality Indices
Part III Literacy
Literacy: Data Quality, Entities and Nodes
Literacy: Relationships and Relations
Literacy: When is a Network Model Explanatory?
Literacy: Choosing the Best Null Model
Literacy Interpretation
Ethics in Network Analysis
Appendix A - The structure and typical outlets of network analytic papers
Appendix B - Glossary
Appendix C - Solutions to the Problems
Name Index
Subject Index.
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