The power of a good idea:: Quantitative modeling of the spread of ideas from epidemiological models

被引:277
作者
Bettencourt, LMA
Cintrón-Arias, A
Kaiser, DI
Castillo-Chávez, C
机构
[1] Cornell Univ, Ctr Appl Math, Ithaca, NY 14853 USA
[2] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[3] Arizona State Univ, Dept Math & Stat, Tempe, AZ 85287 USA
[4] MIT, Ctr Theoret Phys, Cambridge, MA 02139 USA
[5] MIT, Dept Phys, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
scientific idea-diffusion; epidemiological models; transition parameter estimation; rumor models;
D O I
10.1016/j.physa.2005.08.083
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The population dynamics underlying the diffusion of ideas hold many qualitative similarities to those involved in the spread of infections. In spite of much suggestive evidence this analogy is hardly ever quantified in useful ways. The standard benefit of modeling epidemics is the ability to estimate quantitatively population average parameters, such as interpersonal contact rates, incubation times, duration of infectious periods, etc. In most cases such quantities generalize naturally to the spread of ideas and provide a simple means of quantifying sociological and behavioral patterns. Here we apply several paradigmatic models of epidemics to empirical data on the advent and spread of Feynman diagrams through the theoretical physics communities of the USA, Japan, and the USSR in the period immediately after World War II. This test case has the advantage of having been studied historically in great detail, which allows validation of our results. We estimate the effectiveness of adoption of the idea in the three Communities and find values for parameters reflecting both intentional social organization and long lifetimes for the idea. These features are probably general characteristics of the spread of ideas, but not of common epidemics. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:513 / 536
页数:24
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