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- Damon Centola
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
書誌事項
- 公開日
- 2010-09-03
- DOI
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- 10.1126/science.1185231
- 公開者
- American Association for the Advancement of Science (AAAS)
この論文をさがす
説明
<jats:title>Join the Club</jats:title> <jats:p> An important question for policy-makers is how to communicate information (for example, about public health interventions) and promote behavior change most effectively across a population. The structure of a social network can dramatically affect the diffusion of behavior through a population. <jats:bold>Centola</jats:bold> (p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" page="1194" related-article-type="in-this-issue" vol="329" xlink:href="10.1126/science.1185231">1194</jats:related-article> ) examined whether the number of individuals choosing to register for a health forum could be influenced by an artificially constructed network of neighbors that were signed up for the forum. The behavior spread more readily on clustered networks than on random, poorly clustered ones. Certain types of behavior within human systems are thus more likely to spread if people are exposed to many other people who have already adopted the behavior (for example, in the circumstances where your friends know each other, as well as yourself). </jats:p>
収録刊行物
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- Science
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Science 329 (5996), 1194-1197, 2010-09-03
American Association for the Advancement of Science (AAAS)