我們採用隨機力推斷（SFI）方法來研究布朗粒子在非線性力場下的噪聲網絡動力學。然後我們考慮了噪聲網絡動力學的情況，在這種情況下，每個節點的固有動力學是上述的一維布朗粒子，並且節點之間通過有向加權連接進行相互作用。我們分析了熵產生和信息速率，以揭示網絡屬性如何影響網絡的耗散，並探討非平衡集體動態與網絡結構的關聯。;We employ the stochastic force inference (SFI) method to investigate the noisy network dynamics of Brownian particles under a non-linear force field. We then consider the case of noisy network dynamics in which each node’s intrinsic dynamics is the above one-dimensional Brownian particle and the nodes are interacting with directed and weighted connections. The entropy production and information rates are analyzed to reveal how network properties affect the dissipation of the network and relate the non-equilibrium collective dynamics in terms of the network structures.
