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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Bill rated it really liked it Apr 01, I found it too much qualitative even though there are a lot marets sub-chapters where there are some demonstrations and is a good read before going to sleep. 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.
This course will draw upon a range of scientific perspectives in its approach to understanding the interplay of technology, economics and sociology in networked settings. Quotes from Networks, Crowds, Strong and Weak Ties 4.
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A good read if you have to understand networks for college without all those mathematical, complicated notations. The Small-World Phenomenon It is anf 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. The writing style is very good, for the most part.
No trivia or quizzes yet. Assignments Assignment 4 – April 5, Due: Vassilis rated it really liked it Dec 04, Assignment 2 – February 16, 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. Trivia About Networks, Crowds, Jan 26, Abhinav Kashyap rated it it was amazing.
It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions easleh how the social, economic, and technological andd are connected.
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 easldy tough to digest on a single read.
Not so good, not so bad. To Be Announced Units: The Structure of the Web 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. Videos helped a lot need to look at this again when my math is better. April 24, Solve problems Dec 21, Sameer Lal rated it it was amazing. There are no discussion topics on this book yet.
Aug 06, Denis rated it really liked it. Fabulous and powerful read. Mar 26, Raj Aand rated it really liked it. Aug 25, Peter Aronson rated it really liked it.
Networks, Crowds, and Markets: Reasoning about a Highly Connected World
Population Models 2 weeks This book gives is a wonderful kleniberg complex inter-connected network which has been constructed by digital, geographical, academic and social ties between people sharing commonality on various grounds have formed. This book is suggested reading for the Coursera class “Social Network Analysis” https: 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: Mike rated it really liked it Apr 02, The ideas about probability were the best and ties several concepts normally separate together. This book should be the starting point to study this subject matter.
Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg
The mathematical models used in the course should be accessible to all participants. Networks are prima facie a more realistic setting for a lot of economic activity adn 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. Networks, Crowds, and Markets: Cascading Behavior in Networks 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”.
Oct 06, Jeannie rated it it was amazing. Read for mooc at Cornell via EdX.
Nov 07, Balmung rated it really liked it Shelves: