DYNAMICALLY SCALABLE SUMMARIES WITH ADAPTIVE GRAPHICAL ASSOCIATIONS BETWEEN PEOPLE AND CONTENT

The techniques disclosed herein improve existing systems by providing a system that automatically generates a scalable summary with adaptable graphical associations between people and content. The system can select a level of detail that can be applied to a process for generating a summary of content. The level of detail can be based on a user's engagement with respect to one or more events. The system can improve the usability of the summary by selecting a level of detail that is optimized for the user's contextual status. The system also improves the user's interaction with a computer by providing an adaptable layout of information indicating a source of content. The adaptable layout allows users to readily identify topics, content sources, and high-priority summary sections regardless of the level of detail that is selected for the summary.