Skip to main content
100%

Gist 7a4aa931c2aa66a9be73b0d0219ae57a

✓ Published0🌍 Public
UUtopiah
Last edited Nov 21, 2019
Created on Nov 21, 2019

This visualization demonstrates a network graph of Blockstack ID verifications, mapping relationships between cryptographic addresses and their associated identities. It uses d3.forceSimulation to position nodes and links, with each node representing a blockchain address or ID and edges showing verification connections. The graph renders via SVG paths and circles, with color and size encoding node attributes like address type or verification status. Data comes from the Blockstack explorer API, pulling address and verification details from the public blockchain. The visualization updates dynamically as the simulation runs, letting users explore the interconnected web of verified identities.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 4dd85693f71aa8cb49b95371c091b29a

This example verifies a Blockstack ID by displaying its associated blockchain address. It shows a static confirmation message, linking the ID to the address 1934iXrpvRwM43m1sKhb5cfsrjfUWKH362 with a clickable URL to the Blockstack explorer. The visualization uses plain HTML text and a hyperlink, with no graphical or interactive data-rendering code. The underlying data is the literal address string embedded in the gist file, and the rendering approach is standard web markup without any JavaScript libraries or canvas APIs.

YYannael
77% match
Loading thumbnail…

Gist 57c90c21066aa28e99bf983f7104cc74

This example visualizes the verification of a digital identity by displaying a network of nodes connected through force-directed physics. The simulation uses `d3.forceSimulation` to animate the layout, while `d3.geoPath` renders the geographic backdrop, and Canvas `getImageData` captures the pixel-level interactions. The underlying data originates from the gist's own metadata, reflecting the user’s attempt to confirm their identity through a text-based declaration. The code integrates Three.js for 3D rendering, with `transition.attrTween` smoothly interpolating between states during the verification process.

TTheLady
77% match
Loading thumbnail…

Gist d85e660d17b58a7ffd73b56a9d5dfb65

This example verifies a Blockstack ID by displaying a fixed blockchain address in a plain-text file. The visualization shows a single static text line confirming the address, with no graphical rendering. It relies solely on the Blockstack Explorer API link embedded in the file to prove ownership of the ID. No data libraries or rendering code are used; the content is pure text. The address is presented as the primary output, with the explorer link as the verification method.

YYannael
75% match
Loading thumbnail…

Gist 3b0bbf0a28c405d476f69e40e70fc1ec

This visualization shows an interactive network graph built with D3.js, using `d3.forceSimulation` to position nodes and links in a force-directed layout. The graph is rendered on a canvas, with node positions updated each tick. The code includes a Gaia storage integration for saving and loading user data, as indicated by `uploadToGaiaHub` and encrypted-content handling. It also logs build time and caches content offline, suggesting a blockstack-based app that persists state. The visualization appears to be a prototype, as the console shows a failed decryption attempt when fetching stored data.

YYannael
72% match
Loading thumbnail…

Blocks Graph

The visualization shows a force-directed network of 1,238 bl.ocks examples, with nodes representing individual gists colored by author and links indicating mentions between README files. The network layout is computed using `d3.forceSimulation` with many-body charge, link, and position forces, and rendered directly to a Canvas `getContext("2d")` surface. Nodes are drawn as small circles with a 3-pixel radius, and hovering reveals a link to the original bl.ock, while dragging interactively repositions nodes. The data is a cleaned subset of Micah Stubb’s May 2016 dataset, filtered to remove missing and redundant entries.

Mmbostock
69% match
Loading thumbnail…

Gist 3511681

This visualization shows an interactive network of nodes and links, rendered as a force-directed graph. It uses d3.forceSimulation to compute node positions and link forces, with SVG elements for the visual output. The display highlights node connectivity through color-coded clusters and varying node sizes based on degree. The code references an XSLT-defined data structure for script elements, but the actual data source is not visible in the provided snippet. Rendering relies on standard D3 methods for updating positions on each simulation tick.

VVeronicaM
69% match
Loading thumbnail…

Gist 484101

This visualization shows an interactive network of interconnected nodes, with each node representing a person and links showing connections between them. It reveals the structure of social ties, likely from a GitHub collaboration graph, by grouping related clusters. The rendering uses a canvas-based `d3.forceSimulation` with custom collision and link forces to position nodes, while a custom `d3.geoPath`-style projection maps node positions onto a projected sphere. The code also employs Canvas `getImageData` to detect node boundaries for hover interactions, and uses `transition.attrTween` for smooth link animations. The underlying data is loaded from a Gist, and the visualization runs entirely client-side without external data files.

DDylanFM
69% match
Loading thumbnail…

Gist 1328c48d7adc70f7a23d190cdf877f7d

This visualization uses D3.js to render a dynamic network graph of interconnected nodes and links. The code employs `d3.forceSimulation` with forces such as charge, link, and centering to position the nodes, while links and nodes are drawn using SVG lines and circles. The simulation updates positions on each tick, and the graph responds to drag and zoom interactions. Node sizes and link thicknesses are determined by degree and connection counts, offering a clear view of the network’s structure and clustering.

MMbrownshoes
69% match