Links from my talk at SwiftSummit

Gist 27a5dee7d902d2ab3cf1281921ece401

This example visualizes a network of hyperlinks and page relationships extracted from a GitHub gist, mapping connections between referenced URLs and the gist itself. The code uses d3.forceSimulation to position nodes and d3.select plus SVG paths to draw curved links, with link opacity and node radius encoding connection strength and degree. The data is hardcoded as an array of source-target pairs, including links to resources like Cygwin and apt-cyg documentation. A drag handler enables interactive repositioning of nodes, while the simulation’s tick function updates the graph in real time.

71% match

Links from CCVI talk at re:publica 2025

This network visualization maps the interconnections between resources cited in a talk on the Climate Change and Violent Conflict Index (CCVI), using a force-directed layout. The graph clusters nodes by domain, showing how references from a gist, an Observable Notebook, and a GitHub repository relate to each other. The rendering relies on the D3.js library, specifically `d3.forceSimulation` for physics-based node placement and `d3.geoPath` for any geographic projections. Node and link styling are handled via SVG paths, with color encoding to distinguish the three primary data sources.

MMoritzStefaner

69% match

Gist 8bb4970e2700b40a3dce1d785654d907

This visualization uses a force-directed graph to map the relationships between identifiers extracted from a Power Query M codebase. The data originates from a gist by Hugoberry, showing dependencies among functions, modules, and error-handling patterns. The rendering relies on D3.js’s `forceSimulation` with custom link and node positioning, while each node’s label is drawn using SVG text. The code specifically highlights groupings like `TableAction.*`, `ValueAction.*`, and `Pattern.*`, revealing hierarchical clusters of related API calls. The graph’s layout is animated via D3’s tick handler, and the visible node sizes suggest a metric like degree centrality, though the exact encoding is not explicit in the snippet.

HHugoberry

Gist 466252

This example is a data-art composition built from a personal list of recommended web design and programming books, rendered as an interactive force-directed graph. It visualizes the relationships between books, their authors, and their associated topics (like usability, web standards, JavaScript, Ruby, and Rails) using `d3.forceSimulation` for physics-based layout and dynamic node positioning. Each book title, URL, and annotation from the original text is embedded as textual nodes and links, with the graph’s structure and labels derived directly from the source gist’s content. The rendering approach uses SVG elements updated via D3’s data join, and while no explicit additional libraries are mentioned, the code relies on standard D3 v4+ APIs for simulation, drag behavior, and tick updates to show the clustered, interlinked reading list.

DDylanFM

Gist b287c640477b69e13e008ebfa52e8a86

This example shows a network graph of Linux-related articles and links, with nodes representing individual web pages and edges connecting them by shared references. The visualization uses a force-directed layout via `d3.forceSimulation` to position nodes, while the SVG rendering relies on standard D3 selections and `d3.forceLink` for edge constraints. Node color and size encode the source domain (opensource.com versus rootsudo.wordpress.com) and degree, respectively. The graph updates dynamically as the simulation runs, with drag interaction enabled through `d3.drag` for repositioning nodes.

Gist 987ce21f44be30e78ba0241dc9e8596c

This visualization presents an interactive network graph of dependencies and references extracted from a Gist, illustrating connections between documentation links and Docker-related resources. The code uses D3.js with `d3.forceSimulation` to position nodes, employing force-directed physics for layout, while SVG elements render the nodes and links. The graph displays labeled nodes with varying sizes, likely reflecting connection degree, and colors that differentiate categories such as source, Docker documentation, and Stack Exchange threads. The data originates from a hardcoded JSON structure in the Gist, and the visualization responds to drag interactions, allowing users to explore the relational structure of the cited materials.

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

Gist bf027117c9b0bdfb633414ab5bd84877

This example visualizes a network of file and folder connections from a Gist repository, using a force-directed graph layout to reveal clustering and link patterns. The code employs D3.js’s `d3.forceSimulation` with `forceLink` and `forceManyBody` to position nodes, while SVG paths and circles render the edges and vertices. A drop-down menu lets users filter the displayed links by type, and the visualization includes a legend and hover tooltips. The underlying data is hardcoded as a JavaScript array of node and link objects, reflecting the structure of a GitHub Gist.