Exploratory Social Network Analysis with Pajek
An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek). The main structural concepts and their applications in social research are introduced with exercises. Pajek software and datasets are available, so readers can learn network analysis through application and case studies. In the end readers will have the knowledge, skills, and tools to apply social network analysis across different disciplines. A fundamental redesign of the menu structure and the capability to analyze much larger networks required a new edition. This edition presents several new operations including community detection, generalized main paths searches, new network indices, advanced visualization approaches, and instructions for installing Pajek under MacOSX. This third edition is up-to-date with Pajek version 5 and it introduces PajekXXL for very large networks and Pajek3XL for huge networks.
- Offers an extensively revised and expanded edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek)
- Introduces primary structural concepts and their applications in social research with practical exercises
- Elaborates on new operations, such as community detection, generalized main paths searches, new network indices, and advanced visualization approaches
Product details
September 2018Paperback
9781108462273
484 pages
229 × 151 × 27 mm
0.66kg
Available
Table of Contents
- 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. Random graph models.