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GGauppi
Last edited Oct 20, 2022
Created on Oct 20, 2022
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This example displays a network of researcher collaborations as an interactive force-directed graph, with nodes representing individuals and edges representing co-authorship connections derived from an adjacency matrix. The visualization uses the R `networkD3` library’s `simpleNetwork()` function to create a D3.js-based graph (specifically D3 v7 in HTML), with adjustable parameters like link distance, charge, and zoom enabled. The underlying data is fetched from a CSV of unweighted undirected adjacency relationships, transformed from a wide matrix into a long format using `tidyverse` functions such as `gather()`. Node sizes reflect the number of connections per researcher, as computed via grouping and summarization.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

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