我們研究了在無相關雜訊之下耦合的網路系統。在這個網路系統中，有一些節點無法被外在的世界觀察出來。這些隱藏的節點作用在被觀察到節點的動力學效應，可以視為作用在被觀察到節點的額外等效雜訊。這些等效雜訊擁有和隱藏的連接有關的空間以及時間的關聯性。我們分析研究了等效雜訊中空間以及時間的關聯性，而這些結果在有方向性以及無方向性的權重隨機網路和小世界網路的模擬中被證實。除此之外，利用對於觀察到的網路雜訊動力學的網路重建關係，我們提出了一個方法來推斷隱藏節點所造成的效應資訊，包括了被隱藏的節點數目，以及對於每一個被觀察到結點中所隱藏的連結權重。這些結果的有效性被明確的模擬結果證實。;We consider a coupled network system under uncorrelated noises where some of the nodes cannot be observed from the external world. The effects of hidden nodes on the dynamics of the observed nodes can be viewed as having an extra effective noise acting on the observed nodes. These effective noises possess spatial and temporal correlations whose properties are related to the hidden connections. The spatial and temporal correlations of these effective noises are analysed analytically and the results are verified by simulations on undirected and directed weighted random networks and small-world networks. Furthermore, by exploiting the network reconstruction relation for the observed network noisy dynamics, we propose a scheme to infer information of the effects of the hidden nodes such as the total number of hidden nodes and the weighted hidden connections on each observed nodes. The accuracy of these results are demonstrated by explicit simulations.
