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16 - Information Cascades

from Part V - Network Dynamics: Population Models

Published online by Cambridge University Press:  05 June 2012

David Easley
Affiliation:
Cornell University, New York
Jon Kleinberg
Affiliation:
Cornell University, New York
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Summary

Following the Crowd

When people are connected by a network, it becomes possible for them to influence each other's behavior and decisions. In the next several chapters, we will explore how this basic principle gives rise to a range of social processes in which networks serve to aggregate individual behavior and thus produce population-wide, collective outcomes.

There is a nearly limitless set of situations in which people are influenced by others: in the opinions they hold, the products they buy, the political positions they support, the activities they pursue, the technologies they use, and many other things. What we'd like to do here is to go beyond this observation and consider some of the reasons why such influence occurs. We'll see that there are many settings in which it may in fact be rational for an individual to imitate the choices of others even if the individual's own information suggests an alternative choice.

As a first example, suppose that you are choosing a restaurant in an unfamiliar town, and based on your own research about restaurants, you intend to go to restaurant A. However, when you arrive you see that no one is eating in restaurant A, whereas restaurant B next door is nearly full. If you believe that other diners have tastes similar to yours, and that they too have some information about where to eat, it may be rational to join the crowd at B rather than to follow your own information. To see how this is possible, suppose that each diner has obtained independent but imperfect information about which of the two restaurants is better.

Type
Chapter
Information
Networks, Crowds, and Markets
Reasoning about a Highly Connected World
, pp. 425 - 448
Publisher: Cambridge University Press
Print publication year: 2010

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  • Information Cascades
  • David Easley, Cornell University, New York, Jon Kleinberg, Cornell University, New York
  • Book: Networks, Crowds, and Markets
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511761942.017
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  • Information Cascades
  • David Easley, Cornell University, New York, Jon Kleinberg, Cornell University, New York
  • Book: Networks, Crowds, and Markets
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511761942.017
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Information Cascades
  • David Easley, Cornell University, New York, Jon Kleinberg, Cornell University, New York
  • Book: Networks, Crowds, and Markets
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511761942.017
Available formats
×