增强型natural selection的网络增长
Network growth for enhanced natural selection
摘要：
自然选择和随机漂移是解释种群进化的竞争现象。将一个高度匹配的突变体与一个种群结构相结合，可以提高突变体在整个种群中传播的几率，从而使平衡向有利于自然选择的方向倾斜。传播发生的概率，即固定概率，很大程度上取决于人口的结构。某些拓扑结构，尽管是高度人为设计的，但已经被证明存在有利于固定的拓扑结构。我们引入了一个随机机制，网络增长，松散的启发，在这些拓扑结构的关键属性，并证明，通过模拟，它是能够引起结构化的人口的固定概率显着超过一个非结构化的人口。这一发现为自然选择可以在自然发生的种群结构中增强随机漂移的概念提供了重要的支持。
英文摘要：
Natural selection and random drift are competing phenomena for explaining the evolution of populations. Combining a highly fit mutant with a population structure that improves the odds that the mutant spreads through the whole population tips the balance in favor of natural selection. The probability that the spread occurs, known as the fixation probability, depends heavily on how the population is structured. Certain topologies, albeit highly artificially contrived, have been shown to exist that favor fixation. We introduce a randomized mechanism for network growth that is loosely inspired in some of these topologies' key properties and demonstrate, through simulations, that it is capable of giving rise to structured populations for which the fixation probability significantly surpasses that of an unstructured population. This discovery provides important support to the notion that natural selection can be enhanced over random drift in naturally occurring population structures.
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