论文标题
通过延迟的共同信息来识别复杂的网络拓扑
Identification of complex network topologies through delayed mutual information
论文作者
论文摘要
召回了延迟的共同信息和多信息的定义。它显示了如何使用延迟的共同信息来重建与其相关的局部动力学的一些未知尺度图所产生的相互作用拓扑结构。延迟的共同信息也用于解决社区检测问题。整个论文中使用了在无标度图上定义的概率选民模型作为说明性示例。
The definitions of delayed mutual information and multi-information are recalled. It is shown how the delayed mutual information may be used to reconstruct the interaction topology resulting from some unknown scale-free graph with its associated local dynamics. Delayed mutual information is also used to solve the community detection problem. A probabilistic voter model defined on a scale-free graph is used throughout the paper as an illustrative example.
