Network data analysis: a foundation for monitoring and securing communication networks

网络分析在许多学科中变得越来越重要：生物学、物理学、经济学、工程学、计算机科学。我们正在构建和遇到庞大、复杂的网络系统，这些系统涉及许多组成部分的多方面相互作用。科学的进步依赖于对这些网络上记录的大量数据集的成功处理。为了成功地监控、操作和保护现代网络，我们需要新的信号处理算法和机器学习技术。目前可用的分析网络上记录的分布式数据的工具有限。他们努力处理动态网络，其中节点以许多不同的方式交互。在这个项目中，我们的研究小组将努力填补数据分析工具包中的重要空白，该工具包可用于研究网络上记录的大型数据集。

Network analysis is becoming increasingly important in many disciplines: biology, physics, economics, engineering, computer science. We are building and encountering vast, complex networked systems that involve the multi-faceted interaction of many component parts. Scientific advances rely on successful processing of the often vast datasets that are recorded on these networks. To successfully monitor, operate, and secure modern networks, we require new signal processing algorithms and machine learning techniques. Currently available tools for analyzing distributed data recorded on networks are limited. They struggle to address dynamic networks in which nodes interact in many different ways. In this project, our research group will strive to fill important gaps in the data analysis toolkit that is available for studying large datasets recorded on networks.