论文标题
优先选择模型的一般解决方案
A general solution to the preferential selection model
论文作者
论文摘要
我们为赫伯特·西蒙（Herbert Simon）的1955年模型提供了一种一般的分析解决方案，用于随时间不断发展的新颖功能。这具有深远的后果：西蒙是巴拉巴西（Barabasi）1999年为增长社交网络的优先依恋模型的预备模型，而我们对它的一般抽象进行了更多的抽象，更多地认为是链接选择的形式。我们表明，可以从分布的角度对任何类型的系统建模的任何系统，即出现数据（频率）---可以是基本建模（和模拟）的，具有异常高度的精度。
We provide a general analytic solution to Herbert Simon's 1955 model for time-evolving novelty functions. This has far-reaching consequences: Simon's is a pre-cursor model for Barabasi's 1999 preferential attachment model for growing social networks, and our general abstraction of it more considers attachment to be a form of link selection. We show that any system which can be modeled as instances of types---i.e., occurrence data (frequencies)---can be generatively modeled (and simulated) from a distributional perspective with an exceptionally high-degree of accuracy.
