Analyzing Social Networks 2nd Edition, Kindle Edition
Use the Amazon App to scan ISBNs and compare prices.
Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more
Read instantly on your browser with Kindle Cloud Reader.
Using your mobile phone camera - scan the code below and download the Kindle app.
Enter your mobile phone or email address
By pressing "Send link," you agree to Amazon's Conditions of Use.
You consent to receive an automated text message from or on behalf of Amazon about the Kindle App at your mobile number above. Consent is not a condition of any purchase. Message & data rates may apply.
Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process—including basic maths principles—without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way.
In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on:
- Digital data and social networks like Twitter
- Statistical models to use in SNA, like QAP and ERGM
- The structure and centrality of networks
- Methods for cohesive subgroups/community detection
Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.
The Amazon Book Review
Book recommendations, author interviews, editors' picks, and more. Read it now.
An excellent book for students and established scholars alike who want to seriously get into the analysis of social networks. The authors provide a superb introduction to the field, but also offer the depth that enables the reader to perform state-of-the-art analyses. Each chapter comes with clearly defined learning outcomes and exercises, which makes me recommend this book to all my students. It is one of the best books on the analysis of social networks that I have seen so far.-- Thomas Grund Published On: 2017-06-30
The first edition of this fine text has quickly become a leading resource for the conduct of social network research and the analysis of social network data, especially for those researchers using the UCINET software to analyse data. So it is especially valuable to see an updated second edition appearing. This is an indispensable guide for researchers in the collection, analysis and interpretation of social network data.
-- Garry Robins Published On: 2017-06-26
Other books are about social networks. Look here for the best introduction to doing network research. If you want to learn to design a network study, analyze networks, and test hypotheses about social connectivity, this is the book for you. -- Ronald Breiger Published On: 2017-07-12
The first edition of this book was a winner … and this edition is even better. The clear writing, the new glossary at the end of the book, and the exercises at the end of each chapter make this edition a wonderful book to teach from. Highly recommended.-- H. Russell Bernard Published On: 2017-08-10
What do rumours, viruses and global trade have in common? They are all transmitted through a network. For some, this is the start of thinking how all networks share similar properties. For me, such platitudes are getting passé; of course networks are everywhere! Finally, this book goes beyond superficial commonalities in networks to provide a coherent framework for the many different kinds of social networks available to the researcher. The authors help us understand which differences matter, how to analyse them and how to make sense of the results. These days its easy to be sold on the power of network analysis, but it is much harder to know which analysis to do and why. Thankfully, Borgatti, Everett and Johnson have given us a text that is as conceptually rich as it is methodologically generous.-- Bernie Hogan Published On: 2017-08-11 --This text refers to the paperback edition.
About the Author
Martin Everett is professor of social network analysis and co-director of the Mitchell Centre at the University of Manchester. After studying mathematics as an undergraduate and at masters level, he undertook a doctorate in social network analysis. He has over over 30 years of experience of social networks and has contributed to over 100 publications. He is a co-developer of the network analysis software UCINET and is co-editor of the international journal Social Networks. He is a past president of INSNA (The International Network for Social Network Analysis) and a Simmel award holder (the highest award given by INSNA for contributions to research). He has regularly given keynote speeches at international conferences and has consulted to both government agencies and private companies on the use and application of social network analysis.--This text refers to the paperback edition.
- ASIN : B077QNFVKK
- Publisher : SAGE Publications Ltd; 2nd edition (January 8, 2018)
- Publication date : January 8, 2018
- Language : English
- File size : 11798 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Enabled
- Print length : 382 pages
- Lending : Not Enabled
- Best Sellers Rank: #649,205 in Kindle Store (See Top 100 in Kindle Store)
- Customer Reviews:
About the author
Top reviews from the United States
There was a problem filtering reviews right now. Please try again later.
Some cons: The author has developed a software of his own which may not be as useful for R users. The book does not spend much time on modern inferential statistics, such as ERGM.