<title>My life closed twice before its close (96)

<title>"Tie the strings to my life, my Lord"

This visualization uses a force-directed network layout to map Emily Dickinson’s poem “Tie the strings to my life, my Lord” and its textual variants from the TEI-encoded XML source. It shows how alternate word choices and editorial emendations branch from each line, revealing the poem’s structural decisions. The graph is built with `d3.forceSimulation`, where nodes represent individual words or variant readings and links connect sequential lines, with `d3.drag` for interaction. Node size encodes word frequency, and color distinguishes the manuscript (MS) from the 1896 print witness, using `d3.scaleOrdinal`. Hovering triggers `transition.attrTween` to highlight variant paths, while the layout is computed asynchronously from parsed XML via `DOMParser`.

73% match

<title>Eldorado

The visualization shows a line-by-line reading of Poe’s poem *Eldorado*, mapping each verse’s length and stanza structure as a static typographic grid. It uses D3.js’s `d3.forceSimulation` to arrange the lines into a loose, non-linear cluster, while `d3.select` and `d3.scaleOrdinal` color-code the four stanzas. The poem’s text is drawn from the provided TEI/XML source, with each line rendered as a separate SVG text element. No animation or interaction is present; the layout simply emphasizes the poem’s rhythmic alternation between short and long lines.

60% match

Script for Semantic Web Video

This example visualizes the narrative structure of Flannery O’Connor’s short story *The Life You Save May Be Your Own* as a network of character, location, and thematic nodes. It shows how aliases and descriptive motifs—such as grey, sparks, and blue—link across the text to reveal latent connections. The script uses `d3.forceSimulation` to position the nodes and render edges between them, drawing from a manually curated dataset of story elements. The animation highlights the growing complexity of interconnections as the graph expands.

55% match

Fleurs du Mal

This visualization maps the structure of Charles Baudelaire’s *Les Fleurs du Mal* as a network of poems connected by shared themes. It uses a force-directed graph via `d3.forceSimulation` to position nodes, while an SVG overlay with `d3.geoPath` projects a geographic-style backdrop. The data originates from a gist by CliffordAnderson, loaded as JSON, and each node’s size reflects word frequency, with edges colored by sentiment. Interactive hover effects update tooltips through `transition.attrTween`, and the rendering uses Canvas’s `getImageData` for pixel-level effects, creating a hybrid vector-raster display.

55% match

Untitled

A half-finished smiley face emerges from a sparse network of nodes and links, rendered as a static snapshot of a force-directed layout in progress. The visualization uses d3.forceSimulation to position circles and connecting lines, with the title and README hinting that the final arrangement should form a recognizable smiley pattern. Only the upper-left portion of the face is visible, suggesting the simulation was stopped before reaching equilibrium. The example demonstrates a minimal SVG-based force layout without interaction or animation, relying solely on the initial simulation tick to place elements.

Ssmalldutta

Untitled

This visualization shows a network of connected nodes and links arranged into a rough smiley face shape, with the layout still partially in progress. It uses a force-directed graph rendered on a canvas, where the nodes and edges are positioned using D3’s `d3.forceSimulation` with custom forces to guide the nodes toward the facial features. The code also likely employs `d3.forceLink` for the connections and `d3.forceManyBody` for repulsion, with the final arrangement captured as the simulation runs. The example is built from an array of node and link data defined in the HTML, and the chart is set up within a 500-pixel-high container using the amCharts v3 library.

PPriyaEnuganti

Untitled

This example visualizes the relationship between two converging concepts, emphasizing the search for meaning within a text. The piece uses D3.js’s force-directed graph layout to position nodes representing textual fragments from the v3 source, with edges formed by shared keywords or proximity detected through algorithmic analysis. Rendered as an interactive network, it employs `d3.forceSimulation` for physics-based positioning and `d3.geoPath` to trace connections, highlighting clusters and recurring themes. The visualization suggests an ongoing exploration, where linked elements draw attention to patterns in the source material without imposing a definitive narrative.

GGRAVES1425

Gist 7f84369bd0c0b467d6b0

This visualization uses a force-directed graph layout implemented with D3’s `d3.forceSimulation` to position nodes connected by links, representing a network of relationships from an underlying dataset. The scene renders on an HTML5 Canvas, with the simulation’s tick events redrawing the nodes as colored circles and the edges as lines. A zoom interaction is added via `d3.zoom`, applying a transform to the canvas context to allow panning and scaling of the graph. The example demonstrates a typical static network diagram without additional interactivity beyond zoom and drag, relying on the force simulation to settle the layout.

MMbrownshoes