论文标题
环境变化对时间网络动态的影响
Impact of environmental changes on the dynamics of temporal networks
论文作者
论文摘要
复杂社会系统的动力学经常在时间网络的框架中描述，其中仅在节点之间的相互作用时才认为链接存在。这种相互作用模式不仅受到内部交互机制的驱动，而且还受到环境变化的影响。为了调查环境变化对时间网络动态的影响，我们使用多尺度熵（MSE）方法分析了几个面对面的交互数据集，以发现可以根据诸如课程和学校中的班级和休息时间的数据集的环境相似性对观察到的时间相关性进行分类。通过设计和研究考虑周期性变化环境以及优先激活机制的时间网络模型，我们从数值上表明，我们的模型可以在多尺度时间相关性方面通过MSE方法成功地重现各种经验结果。我们的结果表明，当节点之间的相互作用受系统的环境影响时，环境变化可以在塑造时间网络的动态方面发挥重要作用。
Dynamics of complex social systems has often been described in the framework of temporal networks, where links are considered to exist only at the moment of interaction between nodes. Such interaction patterns are not only driven by internal interaction mechanisms, but also affected by environmental changes. To investigate the impact of the environmental changes on the dynamics of temporal networks, we analyze several face-to-face interaction datasets using the multiscale entropy (MSE) method to find that the observed temporal correlations can be categorized according to the environmental similarity of datasets such as classes and break times in schools. By devising and studying a temporal network model considering a periodically changing environment as well as a preferential activation mechanism, we numerically show that our model could successfully reproduce various empirical results by the MSE method in terms of multiscale temporal correlations. Our results demonstrate that the environmental changes can play an important role in shaping the dynamics of temporal networks when the interactions between nodes are influenced by the environment of the systems.
