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Networks, Crowds, and Markets

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Author Info

  • Easley,David
  • Kleinberg,Jon

Abstract

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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Bibliographic Info

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This book is provided by Cambridge University Press in its series Cambridge Books with number 9780521195331 and published in 2010.

Order: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521195331
Handle: RePEc:cup:cbooks:9780521195331

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Web page: http://www.cambridge.org

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Cited by:
  1. Andrew Mays & Gary S. Shea, 2011. "East India Company and Bank of England Shareholders during the South Sea Bubble: Partitions, Components and Connectivity in a Dynamic Trading Network," CDMA Working Paper Series 201109, Centre for Dynamic Macroeconomic Analysis.
  2. Andrei, Amanda L. & Comer, Kevin & Koehler, Matthew, 2014. "An agent-based model of network effects on tax compliance and evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 119-133.
  3. Kenan Huremovic, 2014. "Rent Seeking and Power Hierarchies: A Noncooperative Model of Network Formation with Antagonistic Links," Working Papers 2014.45, Fondazione Eni Enrico Mattei.
  4. Lomi, Alessandro & Fonti, Fabio, 2012. "Networks in markets and the propensity of companies to collaborate: An empirical test of three mechanisms," Economics Letters, Elsevier, vol. 114(2), pages 216-220.
  5. Martin Weitzman, 2012. "A Voting Architecture for the Governance of Free-Driver Externalities, with Application to Geoengineering," NBER Working Papers 18622, National Bureau of Economic Research, Inc.

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