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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At points, the going will get rough and your eyes may glaze over, but there’s little harm to skipping these sections as each chapter is relatively self contained. Quotes from Networks, Crowds, 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.
It is amazingly written–it’s geared towards a beginner audience, but is so beautifully motivated and illustrated that it’s enjoyable for all levels.
Westbut there was surprising little overlap. 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. 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.
Aug 25, Peter Aronson rated it really liked it. Goodreads helps you keep track of books you want to read.
Unfortunately, there are no answers for exercises, not even for odd-numbered problems or similar. A complete pre-publication draft of the text is available at http: The implications raised in the first few chapters should be enough to convince any rational person of the incredible power of network and graph theory, and how it can make the world a better or worse place.
Assignment 2 – February 16, 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!
Mar 24, Zach Boyle rated it it aand amazing.
nstworks Population Models 2 weeks Fabulous and powerful read. I actually came to this book after reading Scale: Books by David Easley. Assignments Assignment 4 – April 5, Due: To be fair, the authors do, in many places, note that accounting for more complete descriptions of reality is a matter of continuing research.
Aug 09, Bernd rated it really liked it Shelves: I found myself handpicking chapters from the ToC instead of reading it sequentially, and got a lot of value from it.
There will also be three or four problem sets. It describes the emerging field of study that is growing at the interface of these areas, marekts fundamental questions about how the ahd, economic, and technological worlds are connected. Network Models of Markets with Intermediaries No trivia or quizzes yet. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior.
Jan 26, Abhinav Kashyap rated it it was amazing. Return to Book Page. Aug 06, Denis rated it really liked it.
It is very easy to build fairy castles of mathematics that relate poorly, or at all to the real world, particularly once you move away from carefully curated data sets. It is a central problem in the application of numerical methods to the social sciences that actually relating mathematical models to the real world in a meaningful way is very hard. 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.
There will be a final exam. But more of a cha This book adresses the functional underpinnings of the now popular social networking phenomenon, and how it easkey to crowd behavior, trend emrgence and commerce.
This course will draw upon a range of scientific perspectives in its approach to understanding the interplay of technology, kleinbefg and sociology in networked settings.