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The point of view here is traditional. It is not about big data, it is not about the "newer" ways of SNA. It is a very good and deep introduction to lots of social network analysis concepts that have been developed during the years by computational sociologists, sociologists, mathematicians and such. Especially relevant since lots of this stuff has been completely forgotten (or never known) by those pursuing the newer wave of SNA.
Social Network Analysis is a set of tools in researching, specially combined with Artificial Intelligence Methods like Machine Learning, Deep Learning, etc. This book is very necessary because of its mathematical background for descriptive and inferential statistic analysis of networks and graphs, for a starting point, this is very recommendable book. About edition, well I bought a second hand edition, it came with some marks and notes with marker and pencil, but, the rest of book is in good conditions, soft cover and very legible letters, articles are ordered in a good sequences to understand it. You will need a solid base of mathematics to understand second part of this book, but first is very readable, better than the mostly articles about Social Network Analysis you could find in the Web. White bright paper and clear printing help you to enjoy the reading, of course this is not a "Understanding Social Network in Ten days", is a very big book, but I don't regret this great bought.
A very low level book that nonetheless has lots of good but basic information in it. If you are not mathematically inclined and are new to network science it is probably pretty good. If you want the mathematical or statistical viewpoint the book is far too basic. Indeed, the book is somewhat dated given the current research in statistical methods for networks. The book is a bit difficult to read because it is so wordy - needlessly slow. It is exhausting to read. The same basic concept is redefined three of four times in consecutive sentences! A good editor could easily get rid of about 1/3 of the book.
If you are used to grad school text, this is a decent book easy to follow. It does repeat itself sometimes, but you can just skip. It's for someone who wants to practice the network analysis and learn from scratch, and definitely not for computer programmers who just want to learn enough to write a software for others to perform sna.
The book may need an update to include some up-to-date information eventually.