Using network science analytics for identifying, anticipating, and disrupting covert threats

该项目旨在利用网络科学尚未开发的潜力来推进智能。网络科学提供了独特的概念、理论和方法来分析和理解一组给定的社会权利（例如，罪犯）之间的关系，以直接通知识别、预测和破坏隐蔽威胁的方式。开发新颖的模拟方法来系统地分析网络犯罪、有组织犯罪和极端主义网络的特征，该项目将利用分析和机器学习方面的进步来建模和揭示有效的情报目标和破坏策略。该项目将在推进智能学科的同时扩展网络科学领域。

This project aims to leverage the untapped potential of network science for advancing intelligence. Network science offers unique concepts, theories, and methods to analyse and understand relationships between a given set of social entitles (e.g., criminals) in ways that directly inform the identification, anticipation, and disruption of covert threats. Developing novel simulation methodologies to systematically analyse the characteristics of cyber-crime, organised crime, and extremist networks, the project will use advances in analytics and machine learning to model and reveal effective intelligence targeting and disruption strategies. The project will extend the field of network science while advancing the discipline of intelligence.