Network analysis | Graph theory
In graph theory, eigenvector centrality (also called eigencentrality or prestige score) is a measure of the influence of a node in a network. Relative scores are assigned to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes. A high eigenvector score means that a node is connected to many nodes who themselves have high scores. Google's PageRank and the Katz centrality are variants of the eigenvector centrality. (Wikipedia).
Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (5 of 35) What is an Eigenvector?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and show (in general) what is and how to find an eigenvector. Next video in this series can be seen at: https://youtu.be/SGJHiuRb4_s
From playlist LINEAR ALGEBRA 3: EIGENVALUES AND EIGENVECTORS
Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (10 of 35) Bases and Eigenvalues: 2
Visit http://ilectureonline.com for more math and science lectures! In this video I will explore and give an example of finding the basis for the eigenspace associated with matrix A and eigenvalue=1. Next video in this series can be seen at: https://youtu.be/Bz9BUM1fRe0
From playlist LINEAR ALGEBRA 3: EIGENVALUES AND EIGENVECTORS
Generalized eigenvectors. Generalized eigenspaces. Generalized eigenvectors corresponding to distinct eigenvalues are linearly independent.
From playlist Linear Algebra Done Right
Find A^n*x Given an Eigenvalue and Eigenvector
This video explains how to use a property of the eigenvector equation to find matrix A to a power times an eigenvector.
From playlist Eigenvalues and Eigenvectors
This video explores the eigenvalues and eigenvectors of a matrix "A". This is one of the most important concepts in linear algebra. The eigenvectors represent a change of coordinates in which the "A" matrix becomes diagonal, with entries given by the eigenvalues. This allows us to easil
From playlist Engineering Math: Differential Equations and Dynamical Systems
Анализ сетевых структур - лекция 3
Лектор - Жуков Леонид Евгеньевич
From playlist Network Science. Module 1, 2019
Lecture 5. Node centrality and ranking on networks.
Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/
From playlist Network Science, 2021
Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (22 of 35) Given Eigenvalue, Find Eigenvector=?
Visit http://ilectureonline.com for more math and science lectures! In this video I will find eigenvector=? when given eignevalue lambda2=-1 where A is a 2x2 matrix. Next video in this series can be seen at: https://youtu.be/dN02OkJekZU
From playlist LINEAR ALGEBRA 3: EIGENVALUES AND EIGENVECTORS
Network Analysis. Lecture 5. Centrality measures.
Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Katz status index and Bonacich centrality, alpha centrality. Spearman rho and Kendall-Tau ranking distance. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lect
From playlist Structural Analysis and Visualization of Networks.
Introduction to SNA. Lecture 4. Node centrality and ranking on networks.
Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Status and rank prestige, PageRank,Hubs and Authorities. Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture4.pdf
From playlist Introduction to SNA
Properties of Eigenvalues and Eigenvectors: Determining Ax and A(x+y) without A
This video explains how to use eigenvalue and eigenvector properties to determine Ax.
From playlist Eigenvalues and Eigenvectors
CS224W: Machine Learning with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZnSo2T Traditional Feature-based Methods: Node-level features Jure Leskovec Computer Science, PhD Starting from this video, we’ll be discussing the techniques on
From playlist Stanford CS224W: Machine Learning with Graphs
Lecture: Eigenvalues and Eigenvectors
We introduce one of the most fundamental concepts of linear algebra: eigenvalues and eigenvectors
From playlist Beginning Scientific Computing
Linear Algebra 15n: Why Eigenvalues and Eigenvectors Are So Important!
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 3 Linear Algebra: Linear Transformations
Networks: Part 6 - Oxford Mathematics 4th Year Student Lecture
Network Science provides generic tools to model and analyse systems in a broad range of disciplines, including biology, computer science and sociology. This course (we are showing the whole course over the next few weeks) aims at providing an introduction to this interdisciplinary field o
From playlist Oxford Mathematics Student Lectures - Networks
Davy Paindaveine - Testing for principal component directions under weak identifiability
Professor Davy Paindaveine (Université Libre de Bruxelles) presents “Testing for principal component directions under weak identifiability", 2 October 2020.
From playlist Statistics Across Campuses
Using determinants to compute eigenvalues & eigenvectors
Motivated by the geometric picture of the previous video, we rewrite the main eigenvalue-eigenvector formula in terms of determinants. This video is part of a Linear Algebra course taught at the University of Cincinnati. BECOME A MEMBER: ►Join: https://www.youtube.com/channel/UC9rTsvTxJ
From playlist Linear Algebra (Full Course)