GraphML data

GraphML for Neo4j

This graph visualization maps academic works, authors, and categories from a theological library dataset, revealing relationships between publications and their contributors. The graph connects nodes representing books, authors, and subject categories, using directional edges to show authorship and classification. The implementation parses GraphML-formatted XML data and displays it through the Neo4j graph platform, leveraging the force-directed layout to position nodes and illustrate the network's structure. The visualization highlights recurring patterns, such as multiple authors associated with the same work and works appearing in several categories.

81% match

GraphML data for Andy Keck

This example visualizes a bipartite GraphML network connecting twelve authors to their associated subject categories, such as “Cataloging” and “Electronic books.” The graph encodes relationships through directed edges, with author names and category labels displayed as node attributes. The visualization renders the data using the GraphML parsing capabilities of a graph library, likely with D3.js’s force-directed layout to position nodes and display the interconnected structure of the author-topic graph.

78% match

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

Graph Gist

This example shows a small graph of people and their database preferences, capturing two `Person` nodes connected by `LIKE` relationships to database nodes labeled `Database`, `NoSql`, and `Graph`. The visualization renders this graph data using D3.js, likely with a force-directed layout (`d3.forceSimulation`) to position nodes and links, and possibly `d3.geoPath` or standard SVG/CSS for shapes and labels. The source code, authored by CliffordAnderson and stored as a Gist, explicitly creates the nodes and relationships with Cypher, returning them for immediate display. The result emphasizes how graph structures and their labels can be directly mapped from query output to interactive visual elements.

Network Graph

This network graph visualizes the relationships between seven nodes representing publication-related concepts like Books, Magazines, and Newspaper, with link weights indicating connection strength. The SVG visualization uses a force-directed layout, where nodes are draggable circles positioned through a physics simulation. The code relies on the older D3 v2 API (`d3.layout.force`, `d3.json`) loaded alongside D3 v4, with nodes and links styled via CSS classes. The graph reads from the embedded `graphFile.json` data source, and edges are drawn with thickness proportional to the square root of their weight.

SSrilekha24

Simple Books Document

This example visualizes a small set of books from an XML data source, grouping them by their `class` attribute (fiction or nonfiction). It first shows the hierarchical document structure as a simple indented list, then renders each book as a colored node in a force-directed graph. The visualization uses D3.js’s `d3.hierarchy` and `d3.tree` to lay out the XML tree, while `d3.forceSimulation` positions the book nodes, with the `class` value driving node color and tooltip text. The raw XML is loaded via `d3.xml`, and the document’s structure is directly mirrored in the layout, making the data’s grouping and classification immediately visible.

Graph

This example shows a social network graph of people connected by friendship ties, with nodes labeled by name and edges drawn as directed lines. The graph is rendered as SVG and uses D3 v6’s force-directed layout, specifically `d3.forceSimulation`, `d3.forceLink`, and `d3.forceCenter`, to position nodes. Each node is a circle with a label, and links have arrowheads via an SVG marker. The data comes from a JSON file listing relationships with weights, and nodes are draggable through `d3.drag`. Hovering highlights a node by increasing its stroke width.

Yyasmeenha