Publication Date



Technical Report: UTEP-CS-13-52

To appear in Journal of Uncertain Systems, 2014, Vol. 8.


New good ideas sometimes propagate too slowly. To speed up their propagation, we need to have a quantitative understanding of how ideas propagate. An intuitive understanding of ideas propagation has led to several reasonable first-approximation mathematical models. These models provide a good description of idea propagation on the later stages, when the ideas have already been adopted by a reasonably large number of people. However, at the critically important early stages, these models are not perfect: these models predict a linear growth with time, while empirical growth data is often better described by a power law. In this paper, we provide an intuitive theoretical explanation of the observed power-law growth.