Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences, Series Number 8)

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.

This used to be "the book" - the only one on social network analysis - for a couple of decades. It still remains "the book" for some of the foundational concepts. While there are better books out there in terms of modern applications, you want to have it on your shelf when you want to go back to the basics.

I think, This book is the best written book I have ever read. I use it to teach my students how to write. My first language is spanish, but the book is so well written that is extremily easy to read and understand. And most important than this, it is an excelente and necessary book to introduce social network analisys to any new practitioner.

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.

I first bought this book in 2001 when I first took a network analysis course. It has not been updated, but it is still the book that I use the most frequently from my library. It is faithful to the early theory of network analysis, and it also covers all of the nuts and bolts of numerous network methods.

I like this book very much. It's a book about "how to" prepare, organizing, and analyzing social network analysis.

Excellent resource for those interested in Social Network Analysis. The book is a bit technical but can still be read by those crime and intelligence analyst wanting to learn more about Social Network Analysis history, techniques and applications.

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.

Pero su dimension es tan monumental que luce bien en mi escritorio, me describe como el nerd que soy.

For those who are looking a very basic information on SNA.. very recommended!

Ein Buch ist fast 20 Jahre Alt , ein klassische Buch von Thema " Social Network Analysis ". Mann soll das haben.

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.

Sehr einfach zu lesen und übersichtlich erklärt. Sehr gute Einführung in das Thema Soziale Netzwerkanalyse. Guter Ausgangspunkt, um sich in die Thematik einzuarbeiten.