一种度量细胞网络结构的方法

A metrics method for cellular network structure

背景:在多细胞组成的生物体社会中,细胞之间的通讯必不可少。众多细胞之间相互通讯、相互联系,形成了一个复杂的细胞网络结构。对细胞网络结构相关属性值进行度量和评价,显得极其重要。目的:基于复杂网络,提出了一种细胞网络结构的度量方法。方法:结合文献研究及实际应用,搭建细胞网络结构的度量框架,分别从细胞节点的度、细胞网络的度分布、细胞网络的平均路径长度、细胞网络的簇系数等方面对细胞网络结构进行度量。以某小型实验为例,进行了实例验证。结果与结论:细胞网络的度分布中,绝大部分细胞节点的度值比较小,只有较少量细胞节点的度值较高。细胞网络中细胞节点的度分布P(k)的幂律分布特点越是明显,则此细胞网络结构越是合理,细胞网络越正常;同时,许多细胞网络结构具有较小的平均路径长度。细胞网络的簇系数越大,表明该细胞网络具有较高的聚集特性。一般情况下,细胞网络结构越“紧密”,细胞网络结构的“集团化”特性越明显,细胞网络越正常。

BACKGROUND:Communication between cells is indispensable in a multicellular organism society.Many cells communicate with each other,forming a complex cellular network structure.It is very important to measure and evaluate the relevant attribute values of cellular network structure.OBJECTIVE:To propose a metrics method of cellular network structure based on a complex network.METHODS:Based on literature research and practical application,the metrics framework of cellular network structure was established.The structure of cellular network was measured in the aspects of the degree of node,the degree distribution of cellular network,the average path length of cellular network and the cluster coefficient of cellular network.A small experiment was taken as an example to verify the validity of the method.RESULTS AND CONCLUSION:In the degree distribution of cellular networks,the degree values of most cell nodes are relatively small,and only a small number of cell nodes have higher degree values.The more obvious power-law distribution of the degree distribution P(k)of cell nodes indicates the more reasonable structure of the cellular network as well as the more normal cellular network.At the same time,many cellular network structures have smaller average path lengths.The larger cluster coefficient of the cellular network indicates the higher aggregation characteristics of the cellular network.Generally speaking,the tighter the cell network structure is,the more obvious the clustering characteristics of the cell network structure are,and the more normal the cellular network is.