Exploratory social network analysis with Pajek - Info and Reading Options
By Wouter de Nooy
"Exploratory social network analysis with Pajek" was published by Cambridge University Press in 2011 - Cambridge and the language of the book is English.
“Exploratory social network analysis with Pajek” Metadata:
- Title: ➤ Exploratory social network analysis with Pajek
- Author: Wouter de Nooy
- Language: English
- Publisher: Cambridge University Press
- Publish Date: 2011
- Publish Location: Cambridge
“Exploratory social network analysis with Pajek” Subjects and Themes:
- Subjects: Mathematical models - SOCIAL SCIENCE / Research - Computer simulation - Social networks - Pajek (Electronic resource)
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL25077722M - OL16214824W
- Library of Congress Control Number (LCCN): 2011015985
- ISBN-13: 9781107002388 - 9780521174800
- All ISBNs: 9781107002388 - 9780521174800
AI-generated Review of “Exploratory social network analysis with Pajek”:
"Exploratory social network analysis with Pajek" Table Of Contents:
- 1- Machine generated contents note: 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.
"Exploratory social network analysis with Pajek" Description:
The Open Library:
"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"--
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