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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
by: Stanley Wasserman, Katherine Faust
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[size=90%]0521382696
Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
By Stanley Wasserman, Katherine Faust
•Publisher: Cambridge University Press
•Number Of Pages: 857
•Publication Date: 1995-01-27
•ISBN-10 / ASIN: 0521382696
•ISBN-13 / EAN: 9780521382694
•Binding: Hardcover
Social network analysis, which focuses on relationships among social entities, is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.
Summary: relatively useless
Rating: 2
This book is basically a compilation of different things, most of them pretty useless. In particular, all the mathematical part is in view of the recent developments of network theory, totally obsolete. It seems a better investment to buy a network theory book or a "real" sociology book.
Summary: Understanding graph theory in many scenarios.
Rating: 5
This book is supported in graph theory, the authors make a comprehensively use of matrix technique and short formulas for explaining how social groups are associated.
The issue is that you, independently of the field in which develop your tasks, can apply network analysis for a better understanding of the environment and their entities.
Congratulations to the authors.
Sergio Quijada
Lieutenant Colonel
PhD Student.
Summary: Easy to read, easy to understand, great introduction
Rating: 5
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.
Summary: Not for anyone with Mathematics or Computer Science background
Rating: 2
This book is unbelievably tedious and repetitious. There is very little actual content for the length of the book. It takes nearly 200 pages just to define some very basic terms from graph theory. This might have been fine if the space were taken up by some sort of meaningful discussion on the relevance of these graph theory concepts to sociological studies and theory. The book (possibly the field?) has the flavor of "here's a hammer, now what can we hit with it?".
Would have liked to see a format based on justification of the analytic techniques from sociological principles, or something much much more concise. Nothing much to see here, move on.
Summary: social network analysis: a good book
Rating: 5
i purchased this book for my research purpose. after reading several chapters, i found this book is really helpful. you can consider it as a handbook for social network analysis, if you want to do some relevant research. you also could use it as an introductory reference, if you want to know something about social network analysis even you have not started such a kind of research yet. anyway, this book is not so expensive, while offering you enough knowledge in this area.
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