In the midst of my current project, I am diving into the intricacies of measuring the "closeness" between an individual and their Twitter friends and followers. This closeness is determined by how often the individual mentions others or is mentioned by others.
As a result, I have formulated a metric to gauge the "weight" of these connections. To visually represent this data, I aim to create a visualization where the subject is positioned at the center, surrounded by their network. Those with higher weight connections will be depicted closer to the subject, while those with lower weights will appear further away.
To bring this visualization to life, I am currently utilizing Graph Dracula for generating force-directed graphs. My question is, can I manipulate the positioning of nodes in such a way that certain nodes are always closer to the subject than others? Or perhaps I am misconstruing the concept of force-directed graph visualizations entirely?
If you're interested in exploring this open-source project further, you can access it on GitHub. For a hands-on demonstration, feel free to test it out here.
This project is a work in progress, so any bugs or issues you encounter, please disregard (or report). Currently, compatibility is limited to Chrome browsers only.