Complex Networks The Challenge of Interaction Topology
Complex Networks The Challenge of Interaction Topology
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发表时间：
2005
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通讯作者：
Z. Toroczkai
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作者：
Z. Toroczkai
网络最近已成为表示复杂系统的范例方式，其中系统组成部分之间的交互模式本身很复杂，并且与系统的动态一起发展。运输是这些动态网络的主要功能。因此，了解网络结构与结构上传输过程的效率和鲁棒性之间的耦合至关重要。这种理解将产生巨大的影响，使我们能够控制细胞中的信号传递过程，并设计强大的信息和能源传输基础设施，例如互联网或电网。然而，由于网络拓扑的离散性和随机性，实现这种类型的理解相当具有挑战性。本文报告了我们将网络动态和传输效率联系起来的一些结果。它还说明了在可扩展计算机网络设计中控制交互拓扑的能力背后的力量。
Networks have recently become a paradigmatic way of representing complex systems in which the pattern of interactions between a system’s constituent parts is itself complex and is evolving together with the system’s dynamics. Transport is the main function of these dynamic networks. It is therefore crucial that we understand the coupling between the network structure and the efficiency and robustness of the transport processes on the structure. Such understanding will have a huge impact, allowing us to control signaling processes in the cell and to design robust information and energy-transmission infrastructures, such as the Internet or the power grid. However, achieving this type of understanding is rather challenging, because of the discrete and random nature of network topology. This article reports on some of our results that connect network dynamics and transport efficiency. It also illustrates the power behind the ability to control the topology of the interactions in the design of scalable computer networks.