Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914165041397760 |
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| author | Aguirre-López, Fabián |
| author_facet | Aguirre-López, Fabián |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_11164 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network Aguirre-López, Fabián Disordered Systems and Neural Networks 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. |
| title | Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network |
| topic | Disordered Systems and Neural Networks |
| url | https://arxiv.org/abs/2404.11164 |