Models and Methods in Social Network Analysis
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Product Description
Product Description
Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Book Description
This book consists of review articles by leading methodologists, all commissioned exclusively for this volume. The book will complement the classic text by Wasserman and Faust, Social Network Analysis: Methods and Applications (also available from Cambridge University Press).
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First Sentence
Interest in social network analysis has grown massively in recent years. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Interest in social network analysis has grown massively in recent years. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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11 of 11 people found the following review helpful
Put on your technical hat. This is advanced math more than a social network research guide.
8 May 2007
Format:Paperback
Social Network Analysis is taking off. in 1932 the sociologist Moreno was the first to draw a social network diagram, yet while the thinking has been seductive the technical capability of generating social network maps has only recently arrived on the researcher's desktop. Suddenly, as it were, many different sciences (social science, organisational research, market research, environmental research) are connecting the dots.
Social network analysis is mathematically vastly different from normal statistical methods. A whole new language is used - and concepts such as "betweenness" or "centrality" correctly convey the spatial nature of SN analysis.
This volume of 13 papers on the topic includes the perspectives of social scientists, through to cutting-edge SN mathematicians, and to be honest I come more from the former category. I'm a market research analyst and found the more intensely mathematical chapters, replete with formulae, simply beyond my grasp. So a warning for readers of my persuasion: you'll need to put on your technical hat.
That said, there is more than enough grist here for a lay person such as myself to learn the basics of Social Network Analysis and to understand many of the new dynamics of this field. I particularly recommend Linton Freeman's chapter of graphical techniques because it makes a warm link between the science and art of this emerging field.
The last chapter also more than makes the price of admission well worthwhile because it reviews available SN softwares (this book was published in 2005 so it is quite contemporary) and our small analytical firm has been able to invest in a good product. We now use the book as our technical support as we learn the unique and illuminating characteristics of social network analysis - in organisational research, and in some innovative work we're now able to do in market research. This volume is practical help.
Our society is increasingly networked through mobiles, internet and other layers of social connection. For social, organisational and market researchers this field is vital. I can therefore recommend this volume as a guidebook. If I found it valuable (despite being somewhat difficult,) you readers with a math degree will find it even more fascinating. Strongly recommended if you're getting into the SN field.
PS. On a broader front, let me also recommend:Six Degrees: The Science of a Connected Age (Open Market Edition)
Social network analysis is mathematically vastly different from normal statistical methods. A whole new language is used - and concepts such as "betweenness" or "centrality" correctly convey the spatial nature of SN analysis.
This volume of 13 papers on the topic includes the perspectives of social scientists, through to cutting-edge SN mathematicians, and to be honest I come more from the former category. I'm a market research analyst and found the more intensely mathematical chapters, replete with formulae, simply beyond my grasp. So a warning for readers of my persuasion: you'll need to put on your technical hat.
That said, there is more than enough grist here for a lay person such as myself to learn the basics of Social Network Analysis and to understand many of the new dynamics of this field. I particularly recommend Linton Freeman's chapter of graphical techniques because it makes a warm link between the science and art of this emerging field.
The last chapter also more than makes the price of admission well worthwhile because it reviews available SN softwares (this book was published in 2005 so it is quite contemporary) and our small analytical firm has been able to invest in a good product. We now use the book as our technical support as we learn the unique and illuminating characteristics of social network analysis - in organisational research, and in some innovative work we're now able to do in market research. This volume is practical help.
Our society is increasingly networked through mobiles, internet and other layers of social connection. For social, organisational and market researchers this field is vital. I can therefore recommend this volume as a guidebook. If I found it valuable (despite being somewhat difficult,) you readers with a math degree will find it even more fascinating. Strongly recommended if you're getting into the SN field.
PS. On a broader front, let me also recommend:Six Degrees: The Science of a Connected Age (Open Market Edition)
1 of 1 people found the following review helpful
Missing just a few things...
14 Dec 2010
Format:Paperback
Being fairly new to Social Network Analysis, I was suggested this book as an all round read and have to say that it comes in handy from a referencing point of view. It's fairly straight forwards in the things that it explains and covers a lot of the necessary theory of things for a good understanding of SNA. Unfortunately, as it's built from a collection of papers, it does miss some of the very key factors that a beginner in the field would really need. For example, there is a whole chapter on group centrality measures but nothing at all devoted to the understanding and calculation of individual centrality measures of actors (including eigenvector centrality which is a tricky concept). It also misses information about gathering and hypothesising with SNA data which in fairness, it's not pretending to be a book on but would have been good.
If you've got a lot of books on SNA and want to be up to speed with the latest techniques then this is an excellent book, (and you probably already own it!) If however, you're looking for a couple of introductory books on the field and are only planning to get one or two then this one alas probably won't cover all your bases.
If you've got a lot of books on SNA and want to be up to speed with the latest techniques then this is an excellent book, (and you probably already own it!) If however, you're looking for a couple of introductory books on the field and are only planning to get one or two then this one alas probably won't cover all your bases.
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