<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Degree on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/tags/degree/</link><description>Recent content in Degree on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>en-us</language><lastBuildDate>Mon, 09 Feb 2026 09:56:11 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/tags/degree/index.xml" rel="self" type="application/rss+xml"/><item><title>The Graph Centrality Trio: Degree, Betweenness, and Closeness - ACERS Engineering Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/50-graph-centrality-degree-betweenness-closeness/</link><pubDate>Mon, 09 Feb 2026 09:56:11 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/50-graph-centrality-degree-betweenness-closeness/</guid><description>A systematic guide to the three core graph centrality metrics: Degree, Betweenness, and Closeness. The key engineering takeaway: most production systems prioritize Degree and approximate Betweenness, with clear complexity and rollout tradeoffs.</description></item></channel></rss>