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"I would heartily recommend this book to anyone interested in getting acquainted with SNA. Its pragmatic point of view--with recurring hints on how to perform different kinds of analysis using UCINET, a popular software tool for SNA--makes this book especially suitable for practitioners."
This book by Christina Prell more than adequately fulfils a promise to meet the needs of those coming to the field for the first time, the intermediate researcher looking to develop skills in the field and for teachers seeking a comprehensive account that will help inform their students.[...] It offers a straightforwardly clear and practical ‘how to’ together with introductions to the favoured computer software applications – always a valuable insight to the neophyte. Indeed if I were to seek a ‘foothold’ in SNA this is where I would start.
The book is a highly recommendable introduction to the field, remarkable for its clarity, accessibility and completeness, with ambitions to fast-forward its readers from beginners’ level up to the point where they can at least appreciate, though perhaps not yet use, advanced models.
This book fills an important void in the social network literature by bringing together theory, methodology and history. Its practical and readable style gives clear guidance on how to do social network research and will be invaluable to anyone undertaking a network study Martin EverettChair of Social Network Analysis, Manchester University
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.
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.
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.
The level of the book is too general to be used for the programme.
Well written and constructed arguments. This is an excellent guide that takes the reader through the journey of Social Network Analysis. Highly recommended!
Very good discussion of descriptive and inferential network analysis. A must-read for people starting with network analysis in her own research.
The level at which the subject matter is treated is not appropriate for my graduate and advanced undergraduate Social Network Analysis courses.
I have recommended this to students studying research methods as well as dissertation students undertaking network analysis as part of their projects. It is a user friendly guide, which avoids the unnecessary complexity of rival texts and inspires confidence in those considering this as an approach in their work.
Social networks are taking a central stage in every aspect of today’s globalizing lives. This interconnected world demands a better understanding of networks and their structures. As a consequence plethora of books were written. This recent book sheds light on the history, theory and methodology of social network analysis. It is not only a timely contribution but it also contains fundamental knowledge about various aspects of social network analysis. It begins by introducing the history of the method.
This is an accessible yet competent introduction to SNA. I will use it in an introductory undergraduate course to research methods. The first chapters describing the broad outlines of the method will make for recommended readings.
This is a great resource that brings some much needed 21st century thinking into the course reading list
I was hoping the book was moving a little further towards using SNA i organisational analysis. Though the book is a nice read, it doesnt provide a better text book, than the SNA by John Scott. I am still in a search for a good text book that takes the ONS approach rather than SNA.
A very nice book that is long needed to teach Social Network Analysis. Many earlier textbooks were either too technical or too shallow. This book is structured nicely and built up in a way so that it can be used efficiently for a course.