Wishlist
Book Summary
Exploratory Social Network Analysis with Pajek is a hands-on guide to analyzing social networks using the free Pajek software. It covers network basics, data preparation, visualization, and key metrics like centrality and clustering. Ideal for students and researchers in sociology, anthropology, and related fields who want practical skills in exploratory network analysis without heavy mathematical prerequisites.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9780521602624” | ||||||
About Exploratory Social Network Analysis...
This textbook serves as a practical introduction to exploratory social network analysis using Pajek, a widely used free software tool. It guides readers through the entire process: from formulating research questions and preparing network data to visualizing networks and computing structural measures. Key topics include network representation, connectivity, centrality, clustering, and blockmodeling. The book emphasizes hands-on learning with numerous examples and exercises, enabling readers to apply concepts directly. While it focuses on Pajek, the underlying principles are transferable to other network analysis tools. It is suitable for courses in social network analysis and for researchers seeking a accessible entry point to network methods. The second edition includes updated content and additional exercises.
Who should read Exploratory Social Network Analysis...?
This book is intended for undergraduate and graduate students in sociology, anthropology, political science, and related social sciences who are taking courses in social network analysis. It is also valuable for researchers and practitioners who want a practical, software-oriented introduction to network analysis using Pajek. No advanced mathematical background is required, making it accessible to those new to the field. Instructors will find it useful as a course text with exercises and examples.
Pros & Cons
Pros
- ✓ Provides a hands-on, practical introduction to social network analysis using free Pajek software.
- ✓ Covers essential concepts and methods, from data preparation to visualization and advanced techniques.
- ✓ Includes numerous examples and exercises that reinforce learning and application.
- ✓ Accessible to readers without extensive mathematical or programming backgrounds.
- ✓ Written by leading experts in the field, ensuring accuracy and depth.
Cons
- ✗ Focuses exclusively on Pajek, which may not be the preferred tool for all users.
- ✗ Some readers may find the software-specific instructions less relevant if using other platforms.
- ✗ The book assumes some familiarity with basic social science research methods.
- ✗ Advanced topics like statistical inference are not covered in depth.
- ✗ Exercises may require access to Pajek and datasets, which could be a barrier for some.
Similar books
Frequently asked questions
Do I need to know Pajek before reading this book?
No, the book assumes no prior knowledge of Pajek and provides step-by-step instructions for using the software.
Is this book suitable for self-study?
Yes, the book is designed for self-paced learning with clear explanations, examples, and exercises. However, some background in social science research is helpful.
Does the book cover statistical analysis of networks?
The focus is on exploratory analysis and visualization. Advanced statistical modeling is not covered in depth, but references for further reading are provided.
What version of Pajek does the book use?
The book is based on Pajek versions available at the time of publication, but the core functionality remains similar across versions.
Are there datasets available for the exercises?
Yes, datasets and additional resources are typically available online through the publisher or the authors' website.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.