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内容説明
The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.
著者について
Mark Newman received a D.Phil. in physics from the University of Oxford in 1991 and conducted postdoctoral research at Cornell University before joining the staff of the Santa Fe Institute, a think-tank in New Mexico devoted to the study of complex systems. In 2002 he left Santa Fe for the University of Michigan, where he is currently Paul Dirac Collegiate Professor of Physics and a professor in the university's Center for the Study of Complex Systems.
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Amazon.com で最も参考になったカスタマーレビュー (beta)
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37 人中、33人の方が、｢このレビューが参考になった｣と投票しています。
Comprehensive and readable introduction
2010/7/21
形式:ハードカバー
The study of networks received much interest in recent years. This book provides an easy to read introduction covering many important topics. Hence its primary audience is probably for undergraduate students however it can serve also as reference.
In particular I like that the book focuses on many recent methods, e.g., community structures or complex network models, without forgetting past concept that have been developed either in graph theory or come from interdisciplinary research for instance from studying social networks. Also, it discusses network algorithms because only by means of these methods you can study the introduced concepts and methods numerically.
Mathematicians interested in graph theory will probably not like this book because it is not written in a typical math-style. In addition, the topic of the book is on network theory which is not exactly graph theory but comprises wider concepts (theoretically and practically).
Besides mathematician, probably everyone will like it.
I want to remark that this book is not merely a collection of published papers, but it is written as a textbook. This why the individual parts fit well to each other.
In particular I like that the book focuses on many recent methods, e.g., community structures or complex network models, without forgetting past concept that have been developed either in graph theory or come from interdisciplinary research for instance from studying social networks. Also, it discusses network algorithms because only by means of these methods you can study the introduced concepts and methods numerically.
Mathematicians interested in graph theory will probably not like this book because it is not written in a typical math-style. In addition, the topic of the book is on network theory which is not exactly graph theory but comprises wider concepts (theoretically and practically).
Besides mathematician, probably everyone will like it.
I want to remark that this book is not merely a collection of published papers, but it is written as a textbook. This why the individual parts fit well to each other.
13 人中、13人の方が、｢このレビューが参考になった｣と投票しています。
Accessible, relevant and comprehensive introduction
2010/11/20
形式:ハードカバー|Amazonが確認した購入
I use network analysis in ecological research. I have found most reference books either highly technical or so simplistic as to be of of little use. This new book is the exception. It is quite well-written, and covers much recent applied research that uses network theory, as well as the analytical and computational background behind these applications. As well as being a good textbook, it is a great introduction to the topic for quantitative researchers in other fields that wish to apply network analysis to their work, and because it is up-to-date, I will continue to use it as a reference in the future.
13 人中、12人の方が、｢このレビューが参考になった｣と投票しています。
A good Book on Real-World Networks - Poorly published
2011/7/12
形式:ハードカバー|Amazonが確認した購入
If you have an interest in understanding the behaviours of real-world networks (such as the internet) then you will get a lot out of this well written book. Like the other authors I commend the authors approach in providing the mathematics that are needed so that you can easily apply the findings. In this way the book becomes a very useful reference. And a reference it is, it is over 750 pages in length crammed with very interesting material and there is a good balance between network structure and network resilience, although as the author states, we probably know more about network structures than how they behave with respect to resiliance.
I especially like the comparison method the author uses in comparing the behaviours of similar networks whether they be information networks, citation networks and indeed immunisation networks.
So why 3 stars rather than 5? Well it has to be the method of binding the book. For some inexplicable reason the publishers have laid the book out with substantial margins on the outer edges of the pages, more than 50mm ie almost 30% of the books is outter margin - which is good for notes and side text, so I don't have a problem with that, but there is absolutely no inner margin to speak of, so a with a large book like this the words in the book's centre, vanish into the depths of a large crevasse as the book sits on your desk. If you have a side lamp, then the as no light can enter these crevasses where there is complete darkness - so you find yourself continually pushing the pages down or adjusting the angle of the book to glimpse those lost words. It is nigh on impossible to read the book without needing to have your index finger pressed firmly into the centre of the book in order to keep it flat - this is such an unnecessarily distraction from what we should be doing - and that is reading a well written book - in total comfort! One would have thought Oxford University Press would have had enough years to learn this!
Obviously, this will not be a problem with the Kindle version!
I especially like the comparison method the author uses in comparing the behaviours of similar networks whether they be information networks, citation networks and indeed immunisation networks.
So why 3 stars rather than 5? Well it has to be the method of binding the book. For some inexplicable reason the publishers have laid the book out with substantial margins on the outer edges of the pages, more than 50mm ie almost 30% of the books is outter margin - which is good for notes and side text, so I don't have a problem with that, but there is absolutely no inner margin to speak of, so a with a large book like this the words in the book's centre, vanish into the depths of a large crevasse as the book sits on your desk. If you have a side lamp, then the as no light can enter these crevasses where there is complete darkness - so you find yourself continually pushing the pages down or adjusting the angle of the book to glimpse those lost words. It is nigh on impossible to read the book without needing to have your index finger pressed firmly into the centre of the book in order to keep it flat - this is such an unnecessarily distraction from what we should be doing - and that is reading a well written book - in total comfort! One would have thought Oxford University Press would have had enough years to learn this!
Obviously, this will not be a problem with the Kindle version!
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