Algorithmics for Interactive 2.5D Graph Drawing

在过去的几年里，技术进步提供了大量的数据，因此在许多领域产生了许多大型而复杂的网络模型。这包括恐怖主义网络和生物网络，软件工程结构和网络图。可视化是帮助人类理解这种网络的有效工具。该项目旨在使用2.5维提供网络可视化的新方向。该项目开发的算法将帮助安全分析师检测洗钱等异常行为，帮助生物学家了解蛋白质相互作用网络，并帮助工程师了解大型软件系统。

Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algorithms developed in the project will help security analysts to detect abnormal behavious such as money laundering, help biologists understand protein-protein interaction networks, and help engineers to understand large software systems.