{"url":"https://api.github.com/gists/1073373","forks_url":"https://api.github.com/gists/1073373/forks","commits_url":"https://api.github.com/gists/1073373/commits","id":"1073373","node_id":"MDQ6R2lzdDEwNzMzNzM=","git_pull_url":"https://gist.github.com/1073373.git","git_push_url":"https://gist.github.com/1073373.git","html_url":"https://gist.github.com/mbostock/1073373","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/1073373/raw/132247f724f5a5adda0e20a433716e866fb25af7/.block","size":77,"truncated":false,"content":"license: gpl-3.0\nredirect: https://observablehq.com/@d3/force-directed-states","encoding":"utf-8"},"README.md":{"filename":"README.md","type":"text/markdown","language":"Markdown","raw_url":"https://gist.githubusercontent.com/mbostock/1073373/raw/201f6ec1661f2010286d6dc1fd2b3bf10b6d535f/README.md","size":408,"truncated":false,"content":"**Click and drag to move states around.**\n\nSo, what happens when you use the [Delaunay triangulation](http://en.wikipedia.org/wiki/Delaunay_triangulation) to compute links between the centroids of the lower 48 United States of America? And then you simulate the whole thing as a [force-directed graph](https://github.com/mbostock/d3/wiki/Force-Layout)? This, it turns out! Built with [D3](http://d3js.org/).\n","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/1073373/raw/ba656bcbd7cad137e7e75d090604e0e231e19849/index.html","size":2389,"truncated":false,"content":"\n\n\n\n\n\n\n","encoding":"utf-8"},"thumbnail.png":{"filename":"thumbnail.png","type":"image/png","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/1073373/raw/59c2ea59d1a6a204571ab065fd1182e90ecd876c/thumbnail.png","size":11420,"truncated":false,"content":"iVBORw0KGgoAAAANSUhEUgAAAOYAAAB4CAYAAADmBo6IAAAAGXRFWHRTb2Z0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\nFU1gNoPFGgWc1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