Network platforms are increasingly important in current economic ecosystems. With industries, platforms and organizations integrating in many directions, the difficulties of defining the boundaries of organizational populations increase. Although population ecologists have frequently applied legitimation and competition mechanisms to analyze inside the organizational population, there is little understanding of the transition of such mechanisms across populations and whether competition mechanisms vary in mixed populations. This paper therefore builds on recent work in community ecology and proposes a Platform System Dependence Model, which involves a re-specification of these mechanisms and offers a theoretical framework that is suitable for heterogeneous organizational populations and sufficiently adapted to the dynamic nature of the network economy. Furthermore, in order to describe and analyze how different organizational populations interact within the ecosystem, we expand traditional population and community ecology models to time-related differential equations. This change makes it possible to perform a comprehensive density-trend analysis that can be applied within and across different categories of populations. We furthermore offer a simulation based on this framework, which supports the thesis that the density of a symbiotic organizational population and a competitive organizational population increases rapidly in the initial stage of organizational population growth, while, at the same time, the platform-based organizational population increases gradually. As the density of a symbiotic population decreases and the competitive population density remains stable, the density of the platform-based organizational population decreases after reaching its maximum. We discuss the implications of these findings for research on ecology and on the platform economy.

网络平台在当前的经济生态系统中越来越重要。随着行业，平台和组织在多个方向上的整合，定义组织人口边界的难度增加。尽管人口生态学家经常使用合法化和竞争机制来分析组织内部人口，但对这种机制在人口之间的过渡以及竞争机制在混合人口中是否存在变化的了解很少。因此，本文以社区生态学的最新工作为基础，并提出了平台系统依赖模型，其中涉及对这些机制的重新规范，并提供了适用于异类组织人群并充分适应网络经济动态性质的理论框架。此外，为了描述和分析生态系统中不同组织种群之间的相互作用，我们将传统的种群和社区生态模型扩展为与时间相关的微分方程。这种变化使得可以进行全面的密度趋势分析，该分析可以在不同类别的人群中或不同人群之间应用。我们还提供了基于此框架的模拟，它支持以下论点：共生组织人口和竞争性组织人口的密度在组织人口增长的初始阶段迅速增加，同时，基于平台的组织人数逐渐增加。随着共生种群密度的降低和竞争种群密度的保持稳定，基于平台的组织种群的密度在达到最大值后会降低。我们讨论了这些发现对生态学和平台经济研究的意义。