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Networks, Crowds, and Markets: Reasoning about a Highly Connected World
Ebook Free Networks, Crowds, and Markets: Reasoning about a Highly Connected World
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Review
"The field of information networks is an emerging discipline of immense importance that combines graph theory, probability and statistics, microeconomics and facets of the social sciences. Easley and Kleinberg present a panoramic view of this field, from basic graph theory all the way to the state of the art in research." Prabhakar Raghavan, Head of Yahoo! Labs"Networks are everywhere, in our social lives, in our economic relations, and in nature; they are now finally arriving to our classrooms. Easley and Kleinberg have written a masterful introduction to networks. This book successfully combines the game theoretic and algorithmic approaches to the study of social, economic and communication networks. It is lively, interesting, readable and accessible. It is a pleasure to teach using this book and never a dull moment for the students." Daron Acemoglu, Charles P. Kindleberger Professor of Applied Economics, Massachusetts Institute of Technology"The first college-level text on network science, it should be a big hit for students in economics and business." Stan Wasserman, Rudy Professor of Statistics, Psychology, and Sociology, Indiana University"In this remarkable book, David Easley and Jon Kleinberg bring all the tools of computer science, economics, and sociology to bear on one of the great scientific challenges of our time: understanding the structure, function, and dynamics of networks in society. Clearly written and covering an impressive range of topics, "Networks, Crowds, and Markets" is the ideal starting point for any student aspiring to learn the fundamentals of the emerging field of network science." Duncan Watts, Principal Research Scientist, Yahoo! Research, and author of Six Degrees: The Science of A Connected Age"David Easley and Jon Kleinberg have given us a totally new kind of basic economics text, where students learn how to analyze social networks and crowds as well as games and markets. This book covers a remarkable range of topics and offers a broad new vision of what economics can be about." Roger Myerson, Glen A. Lloyd Distinguished Service Professor of Economics at the University of Chicago and winner of the 2007 Nobel Prize in Economics"In my three decades plus of teaching, I cannot recall an urge to teach a new undergraduate course like the one I felt upon leafing through this wonderful introduction to everything that is new and important and intellectually challenging in our world." Christos Papadimitriou, C. Lester Hogan Professor of EECS, University of California, Berkeley"The elegant explanations in this book allow readers to rapidly gain a deep understanding of how networks work. Without resorting to either advanced math or even a bit of hand-waving, Easley and Kleinberg take us through the essential concepts and intriguing real-world applications." Professor Lada Adamic, School of Information and Center for the Study of Complex Systems, University of MichiganCheck out this review: Read Suite 101's Review Here."This unusual range of topics is what makes this book invaluable. Instead of just focusing on abstract mathematical models and their formal properties, it puts models in their proper place within a process that begins with empirical observations, leads to mathematical models, is followed by some predictions, and is then subject to experimental validation that starts the cycle anew. In the meantime, one reasons about the connected world around us, discovers some facts, gets some insight into the behavior of complex systems, and even enjoys some "aha!" moments. The book is a pleasure to read." Fernando Berzal, Computing Reviews"The book is clearly written and produced to the quality you can expect from CUP. This important and inspiring book must not be missing from the computer scientist's bookshelf in the 21st century, be it because they ought to be teaching the material to their students as an academic, be it because they are a practitioner who want a fundamental understanding of the methods they may already deploy, and how they relate to other areas." Jochen L. Leidner
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Book Description
This introductory undergraduate textbook draws on 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 phenomena of the connectedness of modern society involve networks, incentives, and the aggregate behavior of groups of people.
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Product details
Hardcover: 744 pages
Publisher: Cambridge University Press; 1 edition (July 19, 2010)
Language: English
ISBN-10: 0521195330
ISBN-13: 978-0521195331
Product Dimensions:
7.5 x 1.2 x 10.4 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
22 customer reviews
Amazon Best Sellers Rank:
#14,899 in Books (See Top 100 in Books)
This is without doubt one of the most well-written books I've read in a long time. I'm already a big fan of Kleinberg's Algorithm Design, and my expectations were high when I started reading this book. Needless to say, I enjoyed reading every chapter of the text--the writing is very fluid and coherent, with just the right amount of mathematical rigor that won't overwhelm the self-learner.The authors do a superb job of taking concepts from basic network analysis and graph theory, and applying them to social and economic networks to create models that explain everyday phenomena. I picked up this book in order to learn more about social networks, and I suppose I couldn't have expected a better introduction.There is a draft version of the book available at the authors' website, and in fact I ordered a copy of the book as soon as I had read a few pages of the draft--I knew instantly that it was the right book for me. Excellent writing.
Good read!
This is a nice introductory book to network ideas and some basic math concepts for network analysis. The math is made very easy and intelligible. There are lots of examples of real networks that have been studied. I think it makes for a good undergraduate textbook.
Excellent introduction by two outstanding researchers. It introduces basic concepts on several fields (networks, game theory) together, in a way that no textbook does -in this era of over-specialization, a breadth of fresh air. Even though it minimizes formulas (it is directed to a general undergraduate audience) it does not abandon *rigor*, providing nice proofs of basic results. Very highly recommended to those who want/need an introduction to networks -even experts could probably learn a thing or two.
This book starts with an analysis of the game theory by a general view. If we study particularly the way of connecting the paths, we have an approach to many questions of several matters. Those questions are the traditional of the game theory, but the book talks also about the Web structure, the relation with the market, the power laws. The last case connects the game theory with the fractals. Other facts whom have a sure interest by this point of view are related to the biology, the voting system, the intellectual property.
Excellent work by authors who know how to make a complex subject accessible, fascinating and engrossing to non-experts. (This book is always checked out at our library.) I have only one problem with this book: the inks or glue(?) really smell! The off-gassing is nauseating. Get the ebook version!
Love this book. Introduces in a very intuitive way, without loosing it's formality, the concepts of networks and its applications.
It was a nicely written book. Though I originally was hoping there would be more discussions on the small world aspect of the social network, I found other part of the book interesting as well.
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