揭示演化网络的结构动力学

T. Jia
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引用次数: 2

摘要

在过去的几年里,随着网络数据在许多领域的可用性,如社交媒体、交通和万维网,不断发展的网络引起了广泛的关注。本文提出了一种利用稳定节点和新节点的概念来测量演化网络结构动力学的简单方法。稳定节点是指在整个观测周期内不消失的节点,它们可以用来检验进化网络的结构鲁棒性。新节点是指在当前时间段出现而不是在前一时间段出现的节点,它们被用来研究进化网络的结构变化。为了验证该方法的有效性,我们将其应用于美国机场网络(USAN)从1991年到2011年以及北京街道网络从2009年到2012年的演变。我们的研究结果揭示了发展中的交通网络的普遍结构模式,这可能有助于网络科学家设计新的模型或交通管理者更好地设计和管理交通网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering structure dynamics of the evolving networks
The evolving networks have attracted extensive attentions in the past several years since the availability of networked data in many fields, such as social media, transportation, and the World Wide Web. This paper presents a simple method to measure the structure dynamics of the evolving networks using the concepts of stable nodes and new nodes. Stable nodes refer to the ones that never disappear in the whole observing time period, and they can be used to examine the structure robustness of the evolving networks. New nodes mean the ones appearing in the current time period but not in the previous time period, and they are employed to investigate the structure change of the evolving networks. To verify the usage of our method, we apply it to explore the evolution of the US Airport Network (USAN) from the year 1991 to 2011 and the street network in Beijing from the year 2009 to 2012. Our findings suggested universal structural patterns of the evolving networks, which might benefit network scientists to devise new models or transportation administrators to better design and manage the network.
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