论文标题
个人级别的演变在复杂的供应网络中表现出种群级的扩展
Individual-level evolutions manifest population-level scaling in complex supply networks
论文作者
论文摘要
在复杂的供应网络中扩展是一种人群级优化现象，认为是源于基础个体网络的演变，但是尚未经验证明演变缩放的连接。在这里，我们使用公共供水网络中的单独解决，时间序列和人口范围数据集，我们从经验上证明了这一联系。在日志图图上，单个供应网络的结构特性会踪该路径可描述为线性弹丸，每个路径的特征是反映了优化的规模的优化物理经济和截距，反映了形态学适应定居环境。缩放坡度的普遍性与缩放截距的差异共存，因此各种形态的网络沿着“共同的进化轨道”及时发展。这种跨层次的观察表明，在复杂的水供应网络中，个体级的动态演变累计表现出种群级别的最佳缩放。
Scaling in complex supply networks is a population-level optimization phenomenon thought to arise from the evolutions of the underlying individual networks, but the evolution-scaling connection has not been empirically demonstrated. Here, using individually resolved, temporally serial, and population-scope datasets from public water supply networks, we empirically demonstrate this connection. On the log-log plot, structural properties of individual supply networks trace out evolutionary paths describable as linear projectiles, each characterized by a slope reflecting optimized physical economies of scale and an intercept reflecting morphological adaptation to settlement contexts. The universality in scaling slope coexists with the variability in scaling intercept, so that networks of diverse morphologies advance in time along a "common evolutionary track". This cross-level observation establishes that individual-level dynamic evolutions cumulatively manifest population-level optimal scaling in complex water supply networks.
