Bitcoin OTC Trust Weighted Ratings - D3 Visualization
A force-directed graph maps 1,000 Bitcoin OTC trust ratings, with nodes as users and directed links as transactions colored by rating via an interpolated red-yellow-green scale (negative to positive). The D3 v4 SVG visualization supports zooming, panning, and node dragging, with hover interactions highlighting connected edges and nodes. Data is sourced from the Stanford SNAP Bitcoin OTC network, subset from ~35,000 to 1,000 records for performance.
AI-generated descriptionConnor Ingram
- The dataset is a subset modified from https://snap.stanford.edu/data/soc-sign-bitcoinotc.html.
S. Kumar, F. Spezzano, V.S. Subrahmanian, C. Faloutsos. Edge Weight Prediction in Weighted Signed Networks. IEEE International Conference on Data Mining (ICDM), 2016.
The data used here is dractically cut down from ~35000 records to 1000. The entire dataset is too much to handle with this implementation, and a force-directed-graph would not be an intuitive choice. The data consists of nodes and links. Each node represents a Bitcoin OTC user (seller/buyer). Each directed edge is a transaction between a source and a target, with a rating that the source user has given the target user (on a scale of -10 to 10, 10 being completely trustworthy), and also a unix timestamp.