Social Network Analysis
History, Theory and Methodology
- Christina Prell - University of Groningen - RuG, Netherlands
This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form.
This is a book for the social network novice on learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field.
It is divided into three sections:
1. Historical & Background Concepts
2. Levels of Analysis
3. Advances, Extensions and Conclusions
The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.
This is a great resource that brings some much needed 21st century thinking into the course reading list
Well written and constructed arguments. This is an excellent guide that takes the reader through the journey of Social Network Analysis. Highly recommended!
I like the book a lot, it gives a good overview on SNA, most of all for people who haven't looked into data yet and are at the very beginning of working with SNA.
The level of the book is too general to be used for the programme.
Accessible, well-readable book. Especially the historical introduction offers the essential background to understand the origin and with it the underpinning logic of the approach - all the way very comprehensive.
Very good discussion of descriptive and inferential network analysis. A must-read for people starting with network analysis in her own research.
This is a very easy-to-learn book and very detailed on network analysis.
Useful text for understanding the background to SNA and provides practical guidance on undertaking SNA projects. Good for both undergrad, postgrad and research staff.
Accessible, well-readable book. Especially the historical introduction offers the essential background to understand the origin and with it the underpinning logic of the approach - all the way very comprehensive.
I like the book a lot, it gives a good overview on SNA, most of all for people who haven't looked into data yet and are at the very beginning of working with SNA.
