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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) [Englisch] [Gebundene Ausgabe]

Eric D. Kolaczyk

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Kurzbeschreibung

19. März 2009 038788145X 978-0387881454 2009
In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

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From the reviews:

“…Accessible and easy to read…strikes a balance between concepts and mathematical detail. …This book is a superb introduction to a fascinating area.” (International Statistical Review, 2010, 78, 1, 134-159) “Many disciplines are nowadays involved in network modeling, but it appears as if a common methodological foundation is lacking. The objective of this book is to provide a first attempt at defining such a common methodological foundation from a statistical point of view. … The style of the writing is excellent. … ample references allow quick access to further literature. I can recommend this book to anyone with a serious statistical interest in networks.” (Fred van Eeuwijk, VOC Nieuwsbrief, Issue 44, May, 2010)

“Any reader interested in networks and wanting a perspective beyond that of any single discipline should acquire this book. … Researchers will also appreciate the many points in the book where important open problems are identified. The book can also serve readily and flexibly as the main textbook for either a graduate-level seminar course or for an informally organized reading group. … This book sets itself the challenge of addressing statistics for network science broadly, and in the many ways already noted, it is successful.” (Michael Frey, Technometrics, Vol. 54 (1), February, 2012)

Synopsis

In the past decade there has developed a tremendous interest in the study of networks. Researchers from across the sciences - including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics - are more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace. Contributions of this nature have come from a wide spectrum of disciplines. This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material here is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathematics. In addition, the examples - including extended cases studies - are drawn widely from the literature. This book should be of substantial interest both to statisticians and anyone else working in the area of 'network science.'

The coverage of topics in this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, to sampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows. This book is the first such resource to present material on all of these core topics in one place.


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Amazon.com: 4.2 von 5 Sternen  5 Rezensionen
14 von 14 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Buy the hard cover 1. Juni 2012
Von DR T.K. Dijkstra - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This is just a warning to avoid the soft cover edition: it is a simple BLACK&WHITE photocopy of the original, so the text refers to colors in diagrams, but they are not visible. Given the price of the softcover this is unacceptable.
4 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Beautiful networks for a beautiful book! 17. Oktober 2012
Von LOV - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
I wish all stat books (or even network books) were as beautiful as this one - beautiful in the sense of the pretty graphs and networks and also the content (theory, discussion, examples) and even the paper quality. There are many excellent network books out there on how to construct a network and measure nodes, but there aren't many books that have a focus on the statistical aspects of network analysis - namely, data collection, sampling, modeling, estimation, inference, etc., which are just as important as constructing a network. So this book is not only beautiful, readable, but also very unique and extremely valuable. Excellent work!
4 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen So far, the best book on the subject which I am aware of 3. November 2011
Von Rodrigo Cesar de Castro Miranda - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
I was looking for a more formal and thorough review of statistical network analysis, and this was the best book I found on the subject. Most other books are really introductions to the study of complex networks, this is the first one I found which goes deeper into the advanced statistical analysis of network data. I recommend it.
1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Usefull and relevant 18. März 2014
Von Paula Tusnady - Veröffentlicht auf Amazon.com
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Very usefull for teaching. It gives a wide and deep scale of statistical methods and very relevant intances or applications.
4.0 von 5 Sternen General Purpose Reference 25. April 2014
Von David - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
This book provides a comprehensive survey of statistical issues related to network data. Very good entry-level book for statisticians who know nothing about network and graph theory. As the topic itself is too wide, ranging from graph theory, statistics, to social network, this book is written in a condense way. Nevertheless, the examples are easy to understand and well motivated, with excellent graphical illustrations. However, in terms of mathematical results, it only states the results without the proof (doing so may result in a very long book), and readers have to refer to other books.
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