{"version":"1.0","type":"rich","title":"Fork of HTML Starter","description":"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.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/a7bd185e06f94127a154f1ed402e7ee2?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}