<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Social-Networks on Scholion</title><link>https://scholion.thluiz.com/tags/social-networks/</link><description>Recent content in Social-Networks on Scholion</description><generator>Hugo -- gohugo.io</generator><language>pt-BR</language><copyright>© 2026</copyright><lastBuildDate>Fri, 25 Sep 2026 11:52:53 +0100</lastBuildDate><atom:link href="https://scholion.thluiz.com/tags/social-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>GuideToMastodon</title><link>https://scholion.thluiz.com/notes/guide-to-mastodon/</link><pubDate>Fri, 25 Sep 2026 08:55:47 +0100</pubDate><guid>https://scholion.thluiz.com/notes/guide-to-mastodon/</guid><description>Guide introductive about Mastodon that explains how the network works, differences compared with Twitter and email, instances, privacy, migration, search, hashtags, and etiquette.</description></item><item><title>A Gentle Introduction To Graph Theory</title><link>https://scholion.thluiz.com/notes/a-gentle-introduction-to-graph-theory/</link><pubDate>Thu, 08 Jun 2017 20:28:54 -0300</pubDate><guid>https://scholion.thluiz.com/notes/a-gentle-introduction-to-graph-theory/</guid><description>The post introduces graphs through graph theory, contrasts them with trees, explains directed and undirected edges, and shows how the web and social networks fit the model.</description></item></channel></rss>