标题： 进化生态网络中的方向性度量：来自复杂自然模型的见解 显示英文标题

标题： Directionality measures in evolutionary ecological networks: Insights from the Tangled Nature model

摘要： 个体生物之间无数的微观相互作用在宏观尺度上共同导致了进化趋势。 能够检测这些趋势的方向性对于理解和管理自然系统的动态至关重要。 然而，确定能够捕捉这种方向性行为的关键可观测量是一个重大挑战。 在本研究中，我们提出将生态数据转换为网络框架是一种衡量系统稳定性和演化的有效策略。 我们以纠缠自然模型为例进行研究，评估网络熵、物种多样性以及聚类系数作为网络稳定性和方向性的度量指标。 显示英文摘要

摘要： The myriad microscopic interactions among the individual organisms that constitute an ecological system collectively give rise, at the macroscopic scale, to evolutionary trends. The ability to detect the directionality of such trends is crucial for understanding and managing the dynamics of natural systems. Nevertheless, identifying the key observable quantities that capture such directional behaviour poses a major challenge. In this study, we propose that translating ecological data into a network framework is a valuable strategy to measure system stability and evolution. We examine the Tangled Nature model as a test case, evaluating network entropy, species diversity, and the clustering coefficient as metrics of network stability and directionality.