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Geometry – Networks, Crowds, and Markets – by David Easley. David Easley, Cornell University, New York, Jon Kleinberg, Cornell University, New York. This MOOC is based on an interdisciplinary Cornell University course entitled Networks, taught by professors David Easley, Jon Kleinberg, and Éva Tardos. Time and Place: Tu,Th , Soda. Text: David Easley and Jon Kleinberg, “Networks, Crowds and Markets,” ISBN =, Cambridge.

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Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg

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Networks, Crowds, and Markets: Over the past decade there has been a growing public fascination with the complex connectedness of modern society. This connectedness is found in many incarnations: These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others.

This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected. Hardcoverpages. To see what your friends thought of this book, please sign up.

To ask other readers questions about Networks, Crowds, and Marketsplease sign up. Be the first to ask a question about Networks, Crowds, and Markets. Lists with This Book.

Aug 09, Bernd rated it really liked it Shelves: This book adresses the functional underpinnings of the now popular social networking phenomenon, and how it relates to crowd nad, trend emrgence and commerce. It is not your average popular science journalism work a la Freakonomics or Outliers. But more of a cha This book adresses the functional underpinnings of the now popular social networking phenomenon, and how it relates to crowd behavior, trend emrgence and commerce.

But more of a chapter-level reference, driven by curiosity based on specific topics. I found myself handpicking chapters from the ToC instead of reading it sequentially, and got a lot of value from it.

May 02, Carly rated it it was amazing Shelves: It is amazingly written–it’s geared towards a beginner audience, but is so beautifully networkx and illustrated that it’s enjoyable for all levels. There are also optional advanced slightly more mathy sections scattered throughout. Dec 19, Gabri rated it ccrowds it Shelves: A good read if you have to understand networks for college without all those mathematical, complicated notations.

Oct 06, Jeannie rated it it was amazing. Fabulous and powerful read. I have always taken an interdisciplinary approach to research and study, and this book makes it ever so clear why new areas of study, which are more integrated and cross-disciplinary, are taking place. It is a comprehensive and thorough read to better understand the complexities of increasing “connectedness” in modern living.

I highly recommend this book. Dec 21, Sameer Lal rated it it was amazing. Aug 25, Peter Aronson rated it really liked it. A solid, not terribly mathematical introduction to networks graph theorygame theory, and markets. It is also supplied with copious, useful diagrams. If you skip the optional sections helpfully marked Advancedyou can get by with simple algebra.

Although the advanced sections are worthwhile if you have the background for them, as they expand the content, aside from perhaps one or two of the proofs where the authors seem to have been carried away by the simple joy of the mathematics.


It easkey a A solid, not terribly mathematical introduction to networks graph theorygame theory, and markets.

It is a oleinberg problem in the application of numerical methods marets the social sciences that actually relating mathematical models to the real world in a meaningful way is very hard. It is very easy to build fairy castles of mathematics that annd poorly, or at all to the real world, particularly once you nehworks away from carefully kleinbberg data sets.

Many of the applications in the book fall into the purview of the social sciences, and the relation of methods in this book to reality is questionable a lot of the time. There are a lot of problematic simplifying assumptions here, and a certain amount of dubious theory to justify models balance theory, or the tragedy of the ccrowds, for instance.

To be fair, the authors do, in many places, note that accounting for more complete descriptions of reality is a matter of continuing research. But I don’t believe they make enough effort to install caution here. I actually came to this book after reading Scale: Westbut there was surprising little overlap. I found Everything is Obvious: Watts to be a better companion read for this book.

Jul 10, Muhammad al-Khwarizmi rated it liked it Shelves: The writing style is very good, for the most part. Unfortunately, there are no answers for exercises, not even for odd-numbered problems or similar. I was also concerned about the reliance on neoclassical-style economic ideas and indeed as the book progresses, there is much, much more “model” than “data”. Networks are prima facie a more realistic setting for a lot of economic activity than the nebulous void of earlier models but this is not an advantage if no attempt to test those models is made The writing style is very good, for the most part.

CS Network analysis: Course outline

Networks are prima facie a more realistic setting for a lot of economic activity than the nebulous void of earlier models crowdds this is not an advantage if no attempt to test those models is made.

Nonetheless, the reader will find some interesting ideas. I myself had previously crowwds wrongly that Arrow’s impossibility theorem was a much bigger problem for democratic government than I do now; under the altogether reasonable assumption of single-peaked preferences it does not loom so large in fact, or at least when only one dimension is concerned. Feb 15, John rated it really liked it. I read the first 10 chapters from page to page and skimmed a majority of the later sections. The implications raised in the first few chapters should be enough to convince any rational person of the incredible power networjs network and graph theory, and how it can make the world a adn or worse place.

Aug 19, Dorothee Lang added it. This book is suggested reading for the Coursera class “Social Network Analysis” https: It’s fascinating, especially with the direct references to our connected world internet, e-mail, websites. There’s an excerpt up at the course page to read into. Mar 26, Raj Sahu rated it really liked it.

Networks, Crowds, and Markets: Reasoning about a Highly Connected World

This book gives is a wonderful insight complex inter-connected network which has been constructed by digital, geographical, koeinberg and social ties between people sharing commonality on various grounds have formed.

As the name suggests, this book contains reasoning about how things work in a connected network from a basic ground level theme to a level sighting research interest among researchers. Say it, a management book, a psychology book, a data analysis book, it fits em kleinbert very ccrowds.


I started to read this with an interest of computational study of networksbut later found myself diving into a very powerful stature of concepts and a way of thinking which this book has presented. One could possibly argue that only theoretical statements are not sufficient to state and prove a concept, then I must say that, this book doesnt lags a slight touch of mathematics in it too, with simple use of algebra, combinatorics and most importantly probability.

Though at times, I was more interested in the statements and verbal proves than the mathematical parts because of either my laziness to give time and understand the equations, or sometimes, that they were bit tough to digest on a single read. Keeping in a note about the slightly complex nature of the mathematical equations, which always could be skipped without facing any loss of the concepts delivered, one should definitely give a read to understand the basic working of any form of network existing between people and mechanisms to how to get things done using it!

Nov 07, Balmung rated it really liked it Shelves: Not so good, not so bad. The book is a good book to take an overview about networks, Crowds and other things that you can read in the title of the book.

Course outline

I found it too much qualitative even though there are a lot of sub-chapters where there are some demonstrations and is a good read before going to sleep. However, if you are markkets for a quantitative book then this book is not for you. In conclusion is a good qualitative book: Mar 24, Zach Boyle rated it networsk was amazing. I would suggest it to anyone interested in economics, philosophy, the social sciences, or anyone who programs.

The ideas about probability kleniberg the best and ties several concepts normally separate together. Something you should have in your book easkey. Jan 10, Roger K. This book is an excellent overview of current network theory, regardless of your familiarity with the field. The authors do a wonderful job of tying together graph theory, game theory, market dynamics, network search theory, and population dynamics with interesting examples.

Be aware that the book is lengthy and structured as a textbook, so it is definitely not a light read. It is worthwhile, though, since networks are becoming THE structural underpinning of our world. Jul 07, Cm Lubinski rated it really liked it Shelves: Excellent book, with easily understandable introductions in the first third, college-course content in the middle third, and fascinating implications in the final third.

At points, the going will get rough marktes your eyes may glaze over, but there’s little harm to skipping these sections as each chapter is relatively self contained. Apr 25, Dani Arribas-bel added it.

I only read the first block, the one on graph theory. It is a good intro for interdisciplinary social science undergrads to get a first introduction to graphs and how they can help understanding the world, but in my case I think I would have appreciated a higher density of concepts per line. Jan 26, Abhinav Kashyap rated it it was amazing. If you are beginning to learn in general about social networks, this is the book. John Kleinberg is insightful including a comprehensive review of most of the literature in the field.

This book should be the mariets point to study this subject matter.