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Exploratory social network analysis with Pajek

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Bibliographic Details
Main Authors: Nooy Wouter de, 1962-
Group Author: Batagelj Vladimir, 1948-; Mrvar Andrej.
Published: Cambridge University Press,
Publisher Address: England New York
Publication Dates: 2011.
Literature type: Book
Language: English
Edition: Rev. and expanded 2nd ed.
Series: Structural analysis in the social sciences ; 34
Subjects:
Pajek (Electronic resource)
Social networks > Mathematical models.
SOCIAL SCIENCE / Research.
Computersimulation
Netzwerkanalyse (Soziologie)
Pajek.
Social networks > Computer simulation.
Carrier Form: xxx, 420 p.: ill. ; 24 cm.
ISBN: 9781107002388 (hardback)
1107002389 (hardback)
9780521174800 (pbk.)
0521174805 (paperback)
Index Number: C912
CLC: C912.3
Call Number: C912.3/N819/rev. and expanded 2nd ed.
Contents: Includes bibliographical references and indexes.
Part I. Fundamentals: 1. Looking for social structure; 2. Attributes and relations; Part II. Cohesion: 3. Cohesive subgroups; 4. Sentiments and friendship; 5. Affiliations; Part III. Brokerage: 6. Center and periphery; 7. Brokers and bridges; 8. Diffusion; Part IV. Ranking: 9. Prestige; 10. Ranking; 11. Genealogies and citations; Part V. Roles: 12. Blockmodels; 13. Eandom graph models; Appendix 1. Getting started with Pajek; Appendix 2. Exporting visualizations; Appendix 3. Shortcut key combinations.
"This is 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. In each chapter, each theoretical section is followed by an application section explaining how to perform the network analyses with Pajek software. Pajek software and data sets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practicing 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"--Provided by publisher.

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