National Science Library of Georgia

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Exploratory social network analysis with Pajek / Wouter de Nooy, Andrej Mrvar, Vladimir Batagelj.

By: Contributor(s): Material type: TextTextSeries: Structural analysis in the social sciences ; 27.Publisher: Cambridge : Cambridge University Press, 2005Description: 1 online resource (xxvii, 334 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511806452 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 300/.285 22
LOC classification:
  • HM741 .N475 2005
Online resources: Summary: This was the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practising network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This was the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practising network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history.

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