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In this video, we explore how linear algebra powers modern network analysis, focusing on adjacency matrices and the intuition behind PageRank. You will learn how graphs can be represented using matrices, how connections between nodes become numerical structures, and how importance flows through networks like the web and social media. We break down complex ideas into simple, visual explanations and walk through practical examples that show how search engines rank pages and how influence spreads online. Whether you are a student, data scientist, or curious learner, this lesson will help you understand the mathematical foundations behind recommendation systems, search algorithms, and network science in an easy and engaging way. #EJDansu #Mathematics #Maths #MathswithEJD #Goodbye2024 #Welcome2025 #ViralVideos #Trending #LinearAlgebra #GraphTheory #PageRank #NetworkScience #DataScience #MachineLearning #AI #BigData #Mathematics #STEM #ComputerScience #Algorithms #WebSearch #GoogleAlgorithm #RankingSystems #Education #OnlineLearning #TechExplained #MathTutorial #ScienceEducation -Feel very free to follow me on all channels: https://linktr.ee/ejdansu -Tech-relevant playlists: Basic Calculus • Basic Calculus Data Analysis with Python • Data Analysis with Python Game Theory • Game Theory Graph & Network Theory • Graph & Network Theory Linear Programming • Linear Programming Matrices • Matrices Numerical Analysis • Numerical Analysis Numerical Optimisation Techniques • Numerical Optimisation Techniques Probability • Probability Scientific Computing with Python • Scientific Computing with Python Set Theory • Set Theory SQL with Python • SQL with Python Statistics • Statistics Vectors • Vectors