Get Free Ebook Analyzing Social Networks

Get Free Ebook Analyzing Social Networks

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Analyzing Social Networks

Get Free Ebook Analyzing Social Networks

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Review

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. Author: Thomas Grund Published On: 2017-06-30The 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. Author: Garry Robins Published On: 2017-06-26Other 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. Author: 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. Author: H. Russell Bernard Published On: 2017-08-10What 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. Author: Bernie Hogan Published On: 2017-08-11

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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 Â 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.

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Product details

Paperback: 384 pages

Publisher: SAGE Publications Ltd; Second edition (February 27, 2018)

Language: English

ISBN-10: 1526404109

ISBN-13: 978-1526404107

Product Dimensions:

7.3 x 0.9 x 9.1 inches

Shipping Weight: 1.5 pounds (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

16 customer reviews

Amazon Best Sellers Rank:

#130,456 in Books (See Top 100 in Books)

This book covers all the basic approaches to network analysis. While the Wasserman & Faust text covers the mathematical approaches in depth, Analyzing Social Networks is a more concise work for those who are ready to start playing around with SNA software.I was surprised, though, that there wasn't much in-depth explanation of UCINET, the authors' own network analysis package. I have been trying to get beyond the basics of using UCINET on my own, and it has been difficult. I am not a programmer, so the help files for the software leave a lot to be desired for someone like me. But I think this book, coupled with "Disrupting Dark Networks" (which provides examples using UCINET, Pajek, and ORA), make a great pair of resources for those trying to learn SNA on their own.Edit (7/14/2013)-- The authors kindly pointed out to me that while not in the book, there is a document on the website that explain how to use UCINET."Note that the details on how to do everything in UCINET is contained in an 83 page document which is on the web at sites.google.com/site/analyzingsocialnetworks/Martin, Steve and Jeff"

Pretty nice book from authors are who are leading scholars in social network analysis. I think this book stands out in terms of explaining social network concepts in plainer words compared to some of other social network analysis books out there. Good book to have around if you are interested in social network analysis.

Good book

You will need someone who knows UCINET to help you along the read and implementation as the whole lot revolves around UCINET.

Excellent resource and text book for upper level undergrads or graduate students.

Good book Real insights. Ucinet is visited well in here. Recommended to everyone. Social network is an underrated subject which should be known well to any data analyst.

Provides an excellent background to effectively analyze social network data. This is an perfect reference book for beginners to experts.

Easy to read and understand.

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Analyzing Social Networks PDF

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Analyzing Social Networks PDF

Analyzing Social Networks PDF