<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Network Diagrams on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/network-diagrams/</link><description>Recent content in Network Diagrams on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 04 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/network-diagrams/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 13: Project: Building a Filterable Network Diagram</title><link>https://ai-blog.noorshomelab.dev/d3js-canvas-graphs-2025/chapter-13-project-filterable-network/</link><pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/d3js-canvas-graphs-2025/chapter-13-project-filterable-network/</guid><description>&lt;h2 id="chapter-13-project-building-a-filterable-network-diagram"&gt;Chapter 13: Project: Building a Filterable Network Diagram&lt;/h2&gt;
&lt;p&gt;Welcome back, visualization explorers! In our journey through D3.js and Canvas, we&amp;rsquo;ve covered the fundamentals of drawing, interacting, and even simulating forces. Now, it&amp;rsquo;s time to bring all those pieces together into a truly practical and engaging project: a filterable network diagram rendered on an HTML5 Canvas.&lt;/p&gt;
&lt;p&gt;This chapter will guide you, step-by-step, through building an interactive network visualization that can dynamically update its displayed data based on user input. You&amp;rsquo;ll learn how to seamlessly integrate D3&amp;rsquo;s powerful data-binding and force simulation capabilities with the high-performance drawing of Canvas, creating a smooth and responsive experience even with moderately sized datasets. We&amp;rsquo;ll focus on making the graph interactive, allowing users to filter nodes and links, providing a hands-on experience that solidifies your understanding.&lt;/p&gt;</description></item></channel></rss>