The Structure and Dynamics of Networks (Princeton Studies in Complexity, 19) 1st Edition by Mark Newman (PDF)

Description

From the Internet to networks of friendship, disease transmission, and even terrorism, the concept–and the reality–of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields–including mathematics, physics, computer science, sociology, and biology–have been pursuing these questions and building a new “science of networks.” This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The book is organized into four sections, each preceded by an editors’ introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science–the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.

User’s Reviews

Editorial Reviews: Review “The Structure and Dynamics of Networks performs an important service by bringing together in one volume a number of papers on network theory, and placing them in their historical context. . . . [T]he volume will serve as an introduction to the topic for the novice and a resource for the more experienced researcher.”—Sarah Boslaugh, MAA Reviews”Everyone with a serious interest in the networks studies will want to read the many fine papers this major collection contains. It is to be warmly recommended as a volume deserving to become compulsory reading for all scholars (and students) interested in the field of networks.” ― Current Engineering Practice”Each and every one of the featured papers represents a fundamental breakthrough, forming altogether a highly coherent body of knowledge. Professors Newman, Barabási, and Watts succeed in their selection, and at the same time add an extra value to the book with enlightening and interesting discussions. I strongly recommend this book to researchers and students of the field and, in general, to anyone who wants to enter or learn more about this exciting field of research.”—Marián Boguñá, Journal of Statistical Physics”The behavioural scientist interested in the wider picture of how their work fits into the world of networks is recommended this book as a first port of call for classic citations.”—Sean A. Rands, Applied Animal Behavior Science Review “This excellent collection of papers will provide great one-stop shopping to those working in the evolving world of network research. It may very well become a standard resource for the growing number of courses on networks now beginning to pervade curricula. Indeed, a current difficulty in teaching such a course is that there are no good texts, and a quick look around the Web reveals that almost all these courses are taught using research papers, many of which appear in this collection.”―Dan Rockmore, Dartmouth College”I read this anthology with great interest. The editors took pains to locate (and even translate) a significant number of papers predating the recent surge of interest in the science of networks, and they do a fine job of clarifying what exactly is new (and what is not so new) in the modern approach as reflected in the vast literature on the subject. The introduction to each section nicely summarizes the main findings of the featured articles.”―Sergei Maslov, Brookhaven National Laboratory From the Back Cover “This excellent collection of papers will provide great one-stop shopping to those working in the evolving world of network research. It may very well become a standard resource for the growing number of courses on networks now beginning to pervade curricula. Indeed, a current difficulty in teaching such a course is that there are no good texts, and a quick look around the Web reveals that almost all these courses are taught using research papers, many of which appear in this collection.”–Dan Rockmore, Dartmouth College”I read this anthology with great interest. The editors took pains to locate (and even translate) a significant number of papers predating the recent surge of interest in the science of networks, and they do a fine job of clarifying what exactly is new (and what is not so new) in the modern approach as reflected in the vast literature on the subject. The introduction to each section nicely summarizes the main findings of the featured articles.”–Sergei Maslov, Brookhaven National Laboratory About the Author Mark Newman is Professor of Physics at the University of Michigan. Albert-László Barabási is Emil T. Hofman Professor of Physics at the University of Notre Dame. He is the author of Linked: The New Science of Networks (Perseus Books). Duncan J. Watts is Associate Professor of Sociology at Columbia University. He is the author of Six Degrees: The Science of a Connected Age (W. W. Norton) and Small Worlds: The Dynamics of Networks Between Order and Randomness (Princeton). Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book is a curated collection of the fundamental papers for the study of graphs.This book is not for the novice as the reader is expected to understand the basics of graphs and be able to understand academic papers.To get the most out of this book, the reader is expected to do a lot of themselves. This book is for readers with a graduate level study in Mathematics

⭐I am very disappointed with that book. The summary as published by Amazon convinces us that it is a general reader book. It is not. Complexity demands simplicity for understanding. This book is about complication (sorry) and frustrates the reader who wants a reference book – as it looks assured by its (now I know) ambitious title. It is not for beginners.

⭐This book is actually a collection of articles that if you want to you could find yourself on Google Scholar. Not sure it is worth the money.

⭐Very solid summary of network theory through curated papers with commentary. Inspiring and the field continues to find areas to invade.

⭐I was disappointed. The authors are leading scientists in the field, and I therefore expected a coherent exposition of the subject based on their combined knowledge and experience. Instead, the book is only a collection of reprints with some short paragraphs to use as linkage. It is not much more than a list of “best” papers in the field.

⭐Criticism of this book thus far stems from the following:1) It is a collection of papers.2) Some of those papers are fairly technical and may be a little daunting for beginners.While both of these criticisms are accurate, they don’t stop the book from being an excellent resource.While it is a collection of papers, it is a very well-chosen one which includes some of the most important and influential papers in the field, and covers a wide array of subjects within it. Furthermore, each section has an intro written by the authors, which summarizes the works in the section in a fairly nontechnical manner.This book saved me from days of basic research and frustration in trying to locate full-text articles, and when I was done with it I felt that I had a fairly good working knowledge of the field. I imagine it will be fairly handy for future reference as well.As for (2), this book was my introduction to network analysis, and while I admit I was unable to read every paper, I was able to understand the main point of almost all of them. Caveat: I am a mathematician. However, as I said, I was previously unfamiliar to the field–and my background gave me little advantage considering I didn’t care to go through the equations in detail.I would recommend this book to anyone with a mildly technical background (say, a few years of university-level science, engineering, or math under their belt) interested in learning about network theory.

⭐Simply an excellent collection that makes for both a wonderful introduction to network theory and an excellent survey of key historical papers. Wonderful choice for anyone interested in this sort of work.

⭐Excellent resource to follow the progress of Network Science through the history of the field up to the present day. I would definitlly recommend this book to anyone embarking on a social netowkring track. You may need a math referesher to follow some of the studies but well worth it!

⭐There aren’t really any text books on networks, at least networks as they’re being studied by physicists today. You’ll find maths books on graph theory but that is about all. This book is a collection of the most important papers through the recent (and not so recent) history of networks.The reasons I really like this book are, firstly, the authors are among the best in the field. The papers they have chosen really are a good place to start if you want to know the story of networks. Secondly the introductions to each of the sections are very well written. There is a general introduction and then they go through each paper picking out its important point and placing it in the bigger picture.I’m a postgraduate physics student and I’m learning about networks for my research. Along with Mark Newman’s website I’ve found this the most comprehensive resource yet.

⭐I bought this book simply because a colleague had it – he has the paperback edition, after having seen nothing more than the table of contents I badly wanted the hardcover edition.And boy – was I not deceived. The authors, all three of them authorities in the field of graph analyis, offer a complete overview, including basically all seminal papers, some of them even translated. For anyone studying social networks, this is a must-have. The book’s emphasis is heavily upon practical applications, which its basic appeal to me (and my colleague) as a practitioner and engineer. Many, many more specialty fields in computer science would be served by such a splendid and hefty got-them-all introduction.Kudos, btw, for Nearfine. As I expressed my disgruntlement about the book arriving late, they reacted quickly, even with a refund offer. Their customer service is polite, upbeat and quick. The book arrived in the kind of packaging that made me wonder: “What is in it – an artillery round?”, and that obviously made the – not-so-cheap – book survive the indignities of shipping by international mail. Thumbs up !

⭐複雑ネットワークに関する教科書を期待すると肩透かしを食らいます。この本は、各章のはじめにその章の要約がついていますが、そのほかの部分は原論文をそっくりそのまま引用しています（その数４０本強）。ですので（私のような）趣味で複雑ネットワークをかじろうとする初心者には敷居が高いです。という訳で★3.5（切上げて4つ？）。教科書が欲しい方は別の本を探してみましょう。(例えば「複雑ネットワークの科学」(増田 直紀、今野 紀雄)など)しかし、著者が重要と目した原論文に当たる機会は貴重であるとも考えます。朝永振一郎先生いわく「本を読むのも良いが、なるべく原論文を読みなさい。そこにはナッセント・ステート(nascent state)の理論がある」（「科学者という仕事」(酒井邦嘉 著)より引用）。複雑ネットワークの科学自体まさに「発生期の状態(nascent state)」ですから、そのnascentな雰囲気をこの論文集で感じてみようと思います。

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⭐英訳だが、カリンティ「鎖」(Karinthy Frigyes “Lancszemek”,”Chain-Links”)が所収されている。他では読めないはずである(ちなみにgooglebooksでは本書が出てくる)。カリンティは邦訳がほとんどない。

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⭐東欧SF傑作集 (上) (創元SF文庫)

⭐に「時代の子」というタイムマシーンを扱った痛快?短編があるくらいである。息子も小説家なのだがそちらの方が多く訳されているようだ。

⭐

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