网络上广义洛特卡-伏特拉模型的异质均场分析

Fabián Aguirre-López
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摘要

我们研究了具有网络结构的广义洛特卡-伏特拉模型的动力学。通过对图进行高连接性扩展,我们写出了包含度异质性的均场动力学理论。这使得我们可以用几个简单的阶参数来描述模型的定点。我们利用复制器模型的映射,扩展了对发散丰度的分析。因此,我们提出了一种同时适用于合作和竞争系统的统一方法,这两种系统显示出互补的行为。在竞争系统中,g_c$ 的作用是区分更有可能消亡的高程度节点,而在合作系统中,它的作用正好相反,它将决定倾向于相对消亡的低程度节点。
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Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network
We study the dynamics of the generalized Lotka-Volterra model with a network structure. Performing a high connectivity expansion for graphs, we write down a mean-field dynamical theory that incorporates degree heterogeneity. This allows us to describe the fixed points of the model in terms of a few simple order parameters. We extend the analysis even for diverging abundances, using a mapping to the replicator model. With this we present a unified approach for both cooperative and competitive systems that display complementary behaviors. In particular we show the central role of an order parameter called the critical degree, $g_c$. In the competitive regime $g_c$ serves to distinguish high degree nodes that are more likely to go extinct, while in the cooperative regime it has the reverse role, it will determine the low degree nodes that tend to go relatively extinct.
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