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Networks, Crowds, and Markets: Reasoning About a Highly Connected World [Englisch] [Gebundene Ausgabe]

David Easley , Jon Kleinberg
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Kurzbeschreibung

19. Juli 2010
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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Networks, Crowds, and Markets: Reasoning About a Highly Connected World + Networks: An Introduction + Social and Economic Networks
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Produktinformation

  • Gebundene Ausgabe: 744 Seiten
  • Verlag: Cambridge University Press (19. Juli 2010)
  • Sprache: Englisch
  • ISBN-10: 0521195330
  • ISBN-13: 978-0521195331
  • Größe und/oder Gewicht: 26 x 18,5 x 3,5 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 17.989 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Pressestimmen

'The first college-level text on network science, it should be a big hit for students in economics and business.' Stan Wasserman, Indiana University

'In this remarkable book, Jon Kleinberg and David Easley 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, author of Six Degrees: The Science of A Connected Age

'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

'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.' Lada Adamic, University of Michigan

'This important and inspiring book must not be missing from the computer scientist's bookshelf in the 21st century …' Dr Jochen L. Leidner

'Far from being a terse, technical analysis, this is an elegant and engaging examination of the subject.' The Times Higher Education Supplement

'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. … Individual instructors will bring their own interests to this lively, well-written text with interesting graphic support and then tailor it to make a course that they are comfortable teaching and one that really comes alive for students.' Mathematical Reviews

'This text offers an integrated, but not superficial, introduction to … new mathematical concepts and their application across a range of social problems … an ideal text for introductory classes. 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, reviews.com

'This very interesting and detailed book manages to expose the wide-ranging applications of graph and network theory in a variety of areas such as game theory, auctions, web searches, horse-betting, voting, crowd behavior, trade markets and the spread of diseases. Throughout the book all necessary mathematical background is outlined in an easy to understand way, including the most interesting and curious aspects of the theory such as the Braess paradox, prisoner's dilemma and Arrow's impossibility theorem. The book concludes with a useful index and a detailed bibliography.' Zentralblatt MATH

'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. Their text was designed as transdisciplinary from the start and will be specifically interesting to physics students who pursue an interdisciplinary career geared toward the social science and econophysics.' Physics Today

Über das Produkt

This introductory book on the new science of networks takes an interdisciplinary approach to understand many phenomena of modern society: the rapid growth of the Internet, the ease of global communication, the spread of news and information, and the way epidemics and financial crises develop with startling speed and intensity.

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10 von 10 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Keine Formeln und trotzdem präzise 12. September 2011
Format:Gebundene Ausgabe
Dieses Buch ist eine absolute Seltenheit: Es vereint auf das Eleganteste zwei einander nicht sehr nahestehende Wissenschaftskulturen miteinander: die Ökonomie und die Informatik. Jon Kleinberg ist unbestritten einer der kreativsten Köpfe in der Informatik und trotz seiner großen mathematischen Präzision verzichten er und sein Koautor David Easley in diesem Text fast völlig auf Formeln - ohne dadurch die Präzision zu verlieren. Meiner Meinung nach ist dieser Text für jeden Interessierten geeignet, da er außer einem allgemeinen Verständnis für Modelle von komplexen Systemen kein mathematisches oder ökonomisches Wissen voraussetzt. Neben den im Titel versprochenen Netzwerken enthält das Buch deutlich mehr spieltheoretische Erkenntnisse als ich erwartet hatte. Insgesamt ein lohnenswertes Buch, das bei größerem Interesse an netzwerkanalytischen Algorithmen durch Mark Newmans Buch Networks: An Introduction oder (bei großem technischen Interesse) durch das Buch von Brandes und Erlebach Network Analysis: Methodological Foundations (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues) ergänzt werden sollte. Selbst für diejenigen, die auch den Wasserman/Faust Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences), Scott ... Lesen Sie weiter... ›
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1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Atemberaubend 7. Juni 2013
Format:Gebundene Ausgabe|Verifizierter Kauf
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.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 4.8 von 5 Sternen  12 Rezensionen
37 von 38 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent coverage promoting intuitive understanding 16. Oktober 2010
Von Mr. Ian D. Gray - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
I've been working through this book over the past three months and I have to say that it is one of the best books that I have read all year. It covers a wide range of topics related to markets, networks and crowd behavior and each section generally begins with a simple model to gain an initial understanding of the behavior of a particular situation, which is then progressively elaborated to reveal deeper insights. The models are continually compared to real world situations and discussion of the models helps to deepen your understanding of why some results which at first appear counter-intuitive, make sense. The exercises at the end of each chapter are just hard enough to test your understanding of the material, while still being easy enough to know whether your answers make sense. In the end, you are left with a more intuitive understanding of the phenomena and situations discussed encouraging deeper insight into how the world works. What is also interesting is the range of applicability of these models: from auctions and epidemics, to information cascades, building markets for new products, seeing how innovations spread through a population as well as network properties that block such spreading. The level of mathematics required to understand the models is not complex; basically a student in their final year of high school could follow most of the mathematics of the models. Having worked through this book, I feel more motivated to tackle more abstract treatments of Network Science, and I have also decided to explore some of the topics presented in greater depth (e.g. cascades)
14 von 15 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent Intro 30. März 2011
Von Antonio - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
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.
12 von 13 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen A top pick for college-level sociology collections! 18. Oktober 2010
Von Midwest Book Review - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
Networks, Crowds and Markets: Reasoning About a Highly Connected World offers a college-level text surveying the connectedness of modern society, from the Internet to global communication, the spread of news and information, and more. It considers the networks and behaviors of groups of people that evolve from such connections and provides undergrads with a textbook considering the economics, sociology, computing and other factors of networks and behavior patterns. A top pick for college-level sociology collections!
7 von 8 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen It will remain influential for years to come 15. Dezember 2012
Von K. Azhytskyi - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
I would like to add to the posted reviews that this book explains concepts in a gentle way. It is a forgiving textbook to which one can return randomly and recover his or her mind-state fairly quickly.

Yet, it is very powerful, as it introduces concepts which are fundamental to the modern thinking. It has a potential of becoming as influential as Pauling's "The Nature of the Chemical Bond" was for chemists.

Let ms speculate that this book is an example of why America's scientific and technological leadership was bound to continue, as long as most of best world's books should appear in English first, and it would take 5-10 years for those to get identified, translated, and published elsewhere. There is simply no way to lead, without teams of people educated on books like this one.
3 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Very well-written 13. Februar 2013
Von Samir Bajaj - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
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.
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