Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-19T02:01:51.368Z Has data issue: false hasContentIssue false

Preface

Published online by Cambridge University Press:  05 June 2012

Wouter de Nooy
Affiliation:
Erasmus Universiteit Rotterdam
Andrej Mrvar
Affiliation:
University of Ljubljana
Vladimir Batagelj
Affiliation:
University of Ljubljana
Get access

Summary

In the social sciences, social network analysis has become a powerful methodological tool alongside statistics. Network concepts have been defined, tested, and applied in research traditions throughout the social sciences, ranging from anthropology and sociology to business administration and history.

This book is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. It introduces structural concepts and their applications in social research with exercises to improve skills, questions to test the understanding, and case studies to practice network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis.

We stress learning by doing: readers acquire a feel for network concepts by applying network analysis. To this end, we make ample use of professional computer software for network analysis and visualization: Pajek. This software, operating under Windows 95 and later, and all example data sets are provided on a Web site (http://vlado.fmf.uni-lj.si/pub/networks/book/) dedicated to this book. All the commands that are needed to produce the graphical and numerical results presented in this book are extensively discussed and illustrated. Step by step, the reader can perform the analyses presented in the book.

Note, however, that the graphical display on a computer screen will never exactly match the printed figures in this book. After all, a book is not a computer screen. Furthermore, newer versions of the software will appear, with features that may differ from the descriptions presented in this book.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Preface
  • Wouter de Nooy, Erasmus Universiteit Rotterdam, Andrej Mrvar, University of Ljubljana, Vladimir Batagelj, University of Ljubljana
  • Book: Exploratory Social Network Analysis with Pajek
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511806452.001
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Preface
  • Wouter de Nooy, Erasmus Universiteit Rotterdam, Andrej Mrvar, University of Ljubljana, Vladimir Batagelj, University of Ljubljana
  • Book: Exploratory Social Network Analysis with Pajek
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511806452.001
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preface
  • Wouter de Nooy, Erasmus Universiteit Rotterdam, Andrej Mrvar, University of Ljubljana, Vladimir Batagelj, University of Ljubljana
  • Book: Exploratory Social Network Analysis with Pajek
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511806452.001
Available formats
×