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Invasion and effective size of graph-structured populations

机译:图结构人群的入侵和有效规模

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Author summary Evolving populations, companies, social circles are networks in which genes, resources and ideas circulate. Imagine a useful novelty is introduced in the network: a favorable mutation, a new product concept or a smart idea. Will this novelty be retained and propagated through the network or rather lost? Using tools originally devised for demographic research, we model the dynamics of the very initial spread of a useful novelty in a network. The network structure has a strong impact on these dynamics by affecting the effective network size through random effects. This effective network size, which correlates with the probability that a novelty spreads and is different from the actual size (i.e. number of nodes), varies with network structure. The effective size can even become independent of the actual network size and thus remain very small even for huge networks.
机译:作者摘要不断发展的人口,公司,社会圈子是基因,资源和思想在其中流通的网络。想象一下,网络中引入了一种有用的新颖性:有利的变异,新产品概念或聪明的想法。这种新颖性会被保留并通过网络传播,还是会丢失?使用最初设计用于人口统计研究的工具,我们可以对网络中有用的新颖性的最初传播动态进行建模。网络结构会通过随机效应影响有效网络规模,从而对这些动态产生强烈影响。这种有效的网络大小与新颖性传播的可能性相关,并且与实际大小(即节点数)不同,它随网络结构而变化。有效大小甚至可以独立于实际的网络大小,因此即使对于大型网络也保持很小的大小。

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