Technology and the use of online services are very much prevalent across much of our everyday lives. Asour digital interactions continue to grow, there is a need to improve public awareness of the risks to our personalonline privacy and security. Designing for privacy and security online has never been so important, so that users canmake better judgements about the information that they share and how they interact online. Typically, users areinteracting with systems for some given purpose, and so are not primarily focused on the personal security andprivacy implications of how they perform these actions. For example, when shopping online users will give attentionto the item that they wish to purchase, but may not necessary pay attention to additional activity on the page, suchas URL requests that are being made to third-party advertisements at the same time.This work provides furtherexploration in to how personal network activity data can be visually conveyed using simple yet informativerepresentation, with a view of helping users to learn more about their online interactions, and how this may informtheir decisions to better manage the security and privacy of their online interactions.