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并发性和网络非配性。

Concurrency and network disassortativity.

出版信息

Artif Life. 2010 Summer;16(3):225-32. doi: 10.1162/artl_a_00001.

Abstract

The relationship between a network's degree-degree correlation and a loose version of graph coloring is studied on networks with broad degree distributions. We find that, given similar conditions on the number of nodes, number of links, and clustering levels, fewer colors are needed to color disassortative than assortative networks. Since fewer colors create fewer independent sets, our finding implies that disassortative networks may have higher concurrency potential than assortative networks. This in turn suggests another reason for the disassortative mixing pattern observed in biological networks such as those of protein-protein interaction and gene regulation. In addition to the functional specificity and stability suggested by Maslov and Sneppen, a disassortative network topology may also enhance the ability of cells to perform crucial tasks concurrently. Hence, increased concurrency may also be a driving force in the evolution of biological networks.

摘要

研究了具有广泛度分布的网络中网络的度-度相关性与宽松版图着色之间的关系。我们发现,在节点数、链接数和聚类水平相似的条件下,去色化的非关联网络比关联网络需要更少的颜色。由于较少的颜色会创建较少的独立集,因此我们的发现意味着非关联网络的并发性潜力可能高于关联网络。这反过来又表明了生物网络中观察到的非关联混合模式的另一个原因,例如蛋白质-蛋白质相互作用和基因调控网络。除了 Maslov 和 Sneppen 所提出的功能特异性和稳定性之外,非关联网络拓扑结构还可以增强细胞同时执行关键任务的能力。因此,并发能力的提高也可能是生物网络进化的驱动力。

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