{"title":"Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network","authors":"Fabián Aguirre-López","doi":"arxiv-2404.11164","DOIUrl":null,"url":null,"abstract":"We study the dynamics of the generalized Lotka-Volterra model with a network\nstructure. Performing a high connectivity expansion for graphs, we write down a\nmean-field dynamical theory that incorporates degree heterogeneity. This allows\nus to describe the fixed points of the model in terms of a few simple order\nparameters. We extend the analysis even for diverging abundances, using a\nmapping to the replicator model. With this we present a unified approach for\nboth cooperative and competitive systems that display complementary behaviors.\nIn particular we show the central role of an order parameter called the\ncritical degree, $g_c$. In the competitive regime $g_c$ serves to distinguish\nhigh degree nodes that are more likely to go extinct, while in the cooperative\nregime it has the reverse role, it will determine the low degree nodes that\ntend to go relatively extinct.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2404.11164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.