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Doing Social Network Research: Network-based Research Design for Social Scientists, by Garry L. Robins
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Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis?
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If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you'll find practical, 'how to' advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences.
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The book covers:
- Fundamental network concepts and theories
- Research questions and study design
- Social systems and data structures
- Network observation and measurement
- Methods for data collection
- Ethical issues for social network research
- Network visualization
- Methods for social network analysis
- Drawing conclusions from social network results
This is a perfect guide for all students and researchers looking to do empirical social network research.
- Sales Rank: #913843 in eBooks
- Published on: 2015-01-16
- Released on: 2015-02-07
- Format: Kindle eBook
Review
Garry has produced a first rate book that explains in detail how to do social network research. He masterfully focuses on research design drawing on his years of experience conducting network research. This book fills a big gap in the literature and is a must have for all social network researchers.
(Martin G Everett)This is a terrific book. It has a unique focus on social network research design, the critical interface between conceptual thinking and empirical research. It also has a wealth of detailed guidance on how to do network research, covering problem formulation, data collection, and data analysis, and is supported by interesting, diverse and appropriate examples.� (Peter Carrington)
Robins has provided a comprehensive exposition of social network research that teems with insights which seamlessly alternate between theory and real-world, practical examples.� This book is a “must read” for anyone interested in conducting social network research and a “must have” for scholars who want to understand the distinctiveness of network research.� Robins’ thoughtful approach to network research will help improve the quality of future scientific investigations into the causes and consequences of social network processes across a wide range of applications.
(Tom Valente)I have been waiting a long time for a book that educates researchers on how to design network studies and how to gather network data, paying less attention to the methodology necessary to do the�analysis. The book is finally here. Visualization, design, measurement, data structures, dealing with subjects — these are the topics here, topics that are usually given none or very little attention in standard network methodology books.�It will be�the first book mentioned on my network analysis course syllabi. And it should be on every network researcher’s bookshelf. Such a text has been a long time coming. And I am very glad it is now here. It does indeed pull back many curtains of the secret world of network science. Professor Robins is a wizard!�
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(Stanley Wasserman)Two categories of readers will find this book particularly interesting. First, those considering an investigation in connection with networks. They will find both a recent presentation of the area and support at each milestone to select the appropriate tools and literature. On the other hand, those who are interested to locate the specifics - both methodological and conceptual - of�a research area that has undergone significant changes in recent years. (�milien�Schultz)
About the Author
Garry Robins is Professor in the Melbourne School of Psychological Sciences at the University of Melbourne. He has won research awards from the Psychometric Society and the American Psychological Association, and is a past winner of the Freeman Award for the scientific study of social structure. He is co-editor of the journal Network Science, a member of the Board of the International Network for Social Network Analysis, and former editor of the Journal of Social Structure. His research has been centred on the development of exponential random graph models for social networks, as well as a wide range of empirical and applied social network studies from cattle herding to criminal networks, from drug-sharing to environmental management, from little data to Big Data.
Most helpful customer reviews
0 of 0 people found the following review helpful.
A very good introduction to SNA
By GoldLight
This is my very first Amazon review because I am so glad that I found this book. This introductory book is very user-friendly, even if you are new to SNA and have very limited knowledge of matrix algebra like me. The explanations are clear, and examples are helpful. There's some math, but manageable. I particularly appreciate the "insider's story" in which the author shares the walk-through of his own experiences in two research: what challenges he encountered, how he reached a solution, etc.
0 of 0 people found the following review helpful.
Excellent overview of how to conduct research using the tools of social network analysis (SNA)
By Sean Everton
Excellent overview of how to conduct research using the tools of social network analysis (SNA). It differs from your standard introductions to SNA with its focus on research itself. Very helpful.
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