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Networks, Crowds, and Markets: Reasoning about a Highly Connected World 1st Edition, Kindle Edition

by David Easley (Author), Jon Kleinberg (Author) Format: Kindle Edition
4.6 4.6 out of 5 stars 84 ratings
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Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.
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  1. ISBN-10
    9780511861345
  2. ISBN-13
    978-0521195331
  3. Edition
    1st
  4. Sticky notes
    On Kindle Scribe
  5. Publisher
    Cambridge University Press
  6. Publication date
    July 19, 2010
  7. Part of series
    Reasoning about a Highly Connected World
  8. Language
    English
  9. File size
    26750 KB
  10. See all details
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Editorial Reviews

Review

"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 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 Michigan

Check out this review: Read Suite 101's Review Here.

"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 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

"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

"This text offers an integrated, but not superficial, introduction to these new mathematical concepts and their application across a range of social problems. Each section provides rigorous proofs of key results and rich references to the literature, while remaining accessible to the undergraduate with only a high school mathematics background. It also holds great promise for people with a strong background in another field who wish to understand some of the key questions addressed by the social sciences."
H. Van Dyke Parunak, Computing Reviews

"This is a fun book. It offers a feast learning curve without confusing the reader with technical details, and it opens a great and timely perspective on dynamical processes in social systems. Easley, an economist, and Kleinberg, a computer scientist, accomplish the difficult task of making the subject available to students from basically any field without being superficial... a hot pick for interested students and researchers new to the interdisciplinary field of complex networks."
Dirk Brockmann, Physics Today

"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

“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

"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

"Networks, Crowds, and markets offers students an excellent opportunity to relate enduring conceptual material, taught in numerous traditional courses, to their fast-paced and ever-changing world. Typically, textbooks have not often done so. This work serves, therefore, not only as motivation for students to appreciate the beauty of the abstract, but also as a model for what textbooks might become in the near future."
Sandra L. Arlinghaus, Mathematical Reviews

"This excellent book by David Easley and Jon Kleinberg, both at Cornell University, is an interdisciplinary work that is well placed to channel and challenge the enthusiasm we have today for all things networked. It covers a wide range of theoretical and practical topics that effectively define the operation of networks, our relationship with them and the behaviours that they engender.Far from being a terse, technical analysis, this is an elegant and engaging examination of the subject. Game theory, for example, suddenly gains a whole new interest when discussed, as it is here, in terms of the behaviour of buyers and sellers in an online auction - a subject that will appeal to the inner geek in those readers seeking to understand the "deep magic" of the process."
John Gilbey, Times Higher Education

"Networks, Crowds, and Markets is an exceptional book."
George K. Thiruvathukal, IEEE Computing in Science and Engineering

About the Author

Jon Kleinberg is the Tisch University Professor in the Computer Science Department at Cornell University. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other online media. He is the recipient of MacArthur, Packard, and Sloan Foundation Fellowships; the Nevanlinna Prize; the ACM-Infosys Foundation Award; and the National Academy of Sciences Award for Initiatives in Research.

David Easley is the Henry Scarborough Professor of Social Science and a Professor of Economics at Cornell University. He was previously an Overseas Fellow of Churchill College, Cambridge. His research is in the fields of economics, finance, and decision theory. In economics, he focuses on learning, wealth dynamics, and natural selection in markets. In finance, his work focuses on market microstructure and asset pricing. In decision theory, he works on modeling decision making in complex environments. He is a Fellow of the Econometric Society and a member of the NASDAQ-OMX Economic Advisory Board.

Product details

  • ASIN ‏ : ‎ B009019RPE
  • Publisher ‏ : ‎ Cambridge University Press; 1st edition (July 19, 2010)
  • Publication date ‏ : ‎ July 19, 2010
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 26750 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 738 pages
  • Customer Reviews:
    4.6 4.6 out of 5 stars 84 ratings

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    David Easley

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Customer reviews

4.6 out of 5 stars
4.6 out of 5
84 global ratings

Top reviews from the United States

Samir Bajaj
5.0 out of 5 stars Very well-written
Reviewed in the United States on February 13, 2013
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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.
12 people found this helpful
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Edoardo Angeloni
5.0 out of 5 stars Today the networks are the more important argument of mathematics
Reviewed in the United States on June 24, 2011
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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.
7 people found this helpful
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Amazon Customer
4.0 out of 5 stars A good book on collective behavior in social science
Reviewed in the United States on February 21, 2017
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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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Antonio
5.0 out of 5 stars Excellent Intro
Reviewed in the United States on March 30, 2011
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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.
22 people found this helpful
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Joanne E Leary
5.0 out of 5 stars Fascinating!!
Reviewed in the United States on February 21, 2014
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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!
2 people found this helpful
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Jose Luis Herrera Diestra
5.0 out of 5 stars 5 stars
Reviewed in the United States on December 3, 2013
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Love this book. Introduces in a very intuitive way, without loosing it's formality, the concepts of networks and its applications.
2 people found this helpful
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TDS
4.0 out of 5 stars Good Intro
Reviewed in the United States on February 6, 2013
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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.
7 people found this helpful
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Amazon Customer
5.0 out of 5 stars Five Stars
Reviewed in the United States on February 4, 2016
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Excellent introductory book for network theory.
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Top reviews from other countries

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Arthur Doohan
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on January 11, 2018
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Good Quality, Would repeat
One person found this helpful
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Greg Silas
5.0 out of 5 stars Fantastically detailed book....but a very long read
Reviewed in Canada on November 19, 2015
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A very detailed oriented book on game & graph theory, efficiency of markets, harnessing power of crowd thought. I think it may be designed for the classroom as it is a long technical read but very in depth. Lots of examples, research. I loved it but it is not an overnight read
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Michele Sordo
5.0 out of 5 stars Ottimo libro, spunti interessanti
Reviewed in Italy on February 8, 2014
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Ho comprato questo libro a seguito di un corso online. Premetto che ne ho letto solo alcune parti ma lo ho trovato molto interessante e ben strutturato. Gli argomenti sono molti e spaziano in varie materie: dalla teoria dei grafi a modelli di markets e crowds (come d'altronde suggerisce il titolo). Suggerito a tutti gli studenti che vogliano approfondire studi in materia e a chi con i grafi ci lavora.
One person found this helpful
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Harald Brandstetter
5.0 out of 5 stars Atemberaubend
Reviewed in Germany on June 7, 2013
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Auch wenn man vielleicht mit der Mathematik, die sonst hinter derlei Themen lauert, eher wenig anfangen kann - oder sich damit nicht auseinander setzen möchte - kann man vom Buch enorm profitieren. Die Dinge werden klar gestellt, komplizierte Zusammenhänge auf nachvollziehbare Grundlagen zurück geführt. Und es ist obendrein gut geschrieben. Die Amerikaner (und Engländer) sind für die sprachliche Qualität ihrer Fachbücher einfach nur zu beneiden.
2 people found this helpful
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Treponim
5.0 out of 5 stars Five Stars
Reviewed in Canada on September 9, 2016
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everybody should read this book
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