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权力的产生

Emergence of Power Laws
课程网址: http://videolectures.net/NTUcomplexity2017_thurner_power_laws_eme...  
主讲教师: Stefan Thurner
开课单位: 维也纳医科大学
开课时间: 2017-04-03
课程语种: 英语
中文简介:
在复杂的动力学系统中,存在着一些著名的动态导致标度律的机制,包括优先附着过程和自组织临界性。迄今为止,一个极其简单和透明的机制被忽视了。我们提出了一个数学定理,即每个随机过程随时间减少其可能结果的数量,在所谓的样本空间缩减过程(SSR)的频率分布中导致幂律。我们证明了网络上的目标扩散正是这样一个SSR过程,因此我们可以理解在自然界中普遍存在的幂律访问分布的起源。我们还对SSR过程能够解释所观察到的标度律的起源的其他例子进行了评论。
课程简介: Where do power laws come from? There exist a handful of famous mechanisms that dynamically lead to scaling laws in complex dynamical systems, including preferential attachment processes and self-organized criticality. One extremely simple and transparent mechanism has so-far been overlooked. We present a mathematical theorem that states that every stochastic process that reduces its number of possible outcomes over time, leads to power laws in the frequency distributions of that so-called sample-space-reducing process (SSR). We show that targeted diffusion on networks is exactly such a SSR process, and we can thus understand the origin of power law visiting distributions that are ubiquitous in nature. We further comment on other examples where SSR processes are able to explain the origin of observed scaling laws.
关 键 词: 动力学; 空间缩减过程; 幂律
课程来源: 视频讲座网
数据采集: 2020-11-09:yxd
最后编审: 2020-11-09:yxd
阅读次数: 58