Keller Evelyn Fox
Program in Science, Technology and Society, MIT, 77 Mass Ave, E51-185, Cambridge, MA 02139, USA.
Bioessays. 2005 Oct;27(10):1060-8. doi: 10.1002/bies.20294.
Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a "universal architecture" of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question.
最近在复杂网络连通性中观察到的幂律分布,令沉浸于随机网络传统的研究人员大为惊讶。更令人惊讶的是,发现幂律分布也刻画了许多生物和社会网络的特征。许多人认为这一事实具有深刻意义,推断出复杂系统的“通用架构”。然而,进一步审视会对以下假设提出挑战:(1)此类分布很特殊;(2)它们意味着一种独立于系统具体细节的通用架构。如果说有什么真正令人惊讶的,那就是幂律分布很容易通过多种机制生成。由此产生的架构并非通用的,而是特定的;它由所讨论系统的实际约束条件决定。