Social network analysis | Algebraic graph theory

Alpha centrality

In graph theory and social network analysis, alpha centrality is an alternative name for Katz centrality. It is a measure of centrality of nodes within a graph. It is an adaptation of eigenvector centrality with the addition that nodes are imbued with importance from external sources. (Wikipedia).

Video thumbnail

Centrality - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

Types Of Centrality - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

Degree Centrality Solution - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

Centralizer of a set in a group

A centralizer consider a subset of the set that constitutes a group and included all the elements in the group that commute with the elements in the subset. That's a mouthful, but in reality, it is actually an easy concept. In this video I also prove that the centralizer of a set in a gr

From playlist Abstract algebra

Video thumbnail

Paolo Boldi - Axioms for centrality: rank monotonicity for PageRank

https://indico.math.cnrs.fr/event/3475/attachments/2180/2562/Boldi_GomaxSlides.pdf

From playlist Google matrix: fundamentals, applications and beyond

Video thumbnail

Centralizer of an element in the dihedral group of order 6

Before we go on to the stabilizer of a set in a group, I want to use the dihedral group of order 6, select one of its elements and then go through the whole group to show that there are element that commute with this chosen element. I will do this wil the help of Mathematica. A shoutout

From playlist Abstract algebra

Video thumbnail

Mean v median: Measures of Central Tendency

Intro to measures of central tendency

From playlist Unit 1: Descriptive Statistics

Video thumbnail

The central limit theorem

The central limit theorem allows us to do statistical analysis through hypothesis testing. In short, is states that if we compile many, many means from sample taken from the same population, that the distribution of those means will be normally distributed.

From playlist Learning medical statistics with python and Jupyter notebooks

Video thumbnail

What is General Relativity? Lesson 26: The central force problem in classical mechanics

What is General Relativity? Lesson 26: The central force problem in classical mechanics In this lesson we prepare ourselves for the study of the Schwarzschild geodesic analysis by doing a deep review of the Lagrangian formalism of classical mechanics with a particular focus on the central

From playlist What is General Relativity?

Video thumbnail

J. Aramayona - MCG and infinite MCG (Part 2)

The first part of the course will be devoted to some of the classical results about mapping class groups of finite-type surfaces. Topics may include: generation by twists, Nielsen-Thurston classification, abelianization, isomorphic rigidity, geometry of combinatorial models. In the second

From playlist Ecole d'été 2018 - Teichmüller dynamics, mapping class groups and applications

Video thumbnail

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

Video thumbnail

Supersymmetry and Superspace, Part 1 - Jon Bagger

Supersymmetry and Superspace, Part 1 Jon Bagger Johns Hopkins University July 19, 2010

From playlist PiTP 2010

Video thumbnail

Supersymmetry and Superspace, Part 3 - Jon Bagger

Supersymmetry and Superspace, Part 3 Jon Bagger Johns Hopkins University July 21, 2010

From playlist PiTP 2010

Video thumbnail

Permutation Orbifolds of Vertex Operator Algebras

This is a recording of a talk I gave at the Illinois State University Algebra Seminar. Suggest a problem: https://forms.gle/ea7Pw7HcKePGB4my5 Please Subscribe: https://www.youtube.com/michaelpennmath?sub_confirmation=1 Merch: https://teespring.com/stores/michael-penn-math Personal Websi

From playlist Research Talks

Video thumbnail

Trigonometry X: the Law of Cotangents (and another lovely relation involving cotangents!)

Boy, oh boy this is a longish one. I prove the Law of Cotangents using the incenter of the triangle, after motivating the path with another way one might seek to prove the Law of Sines using the circumcenter of the triangle. After that, I demonstrate an equally lovely relationship betwee

From playlist Trigonometry

Video thumbnail

Center of quantum group - Arun Kannan

Quantum Groups Seminar Topic: Center of quantum group Speaker: Arun Kannan Affiliation: Massachusetts Institute of Technology Date: February 04, 2021 For more video please visit http://video.ias.edu

From playlist Quantum Groups Seminar

Video thumbnail

The Heisenberg Algebra part 1.

We begin to describe the Heisenberg vertex algebra, which is an algebraic model of one free boson. Please Subscribe: https://www.youtube.com/michaelpennmath?sub_confirmation=1 Merch: https://teespring.com/stores/michael-penn-math Personal Website: http://www.michael-penn.net Randolph Col

From playlist Vertex Operator Algebras

Video thumbnail

Rare events in fat-tailed systems by Eli Barkai

Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst

From playlist Large deviation theory in statistical physics: Recent advances and future challenges

Video thumbnail

Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 4: mixture...

Bayesian inference and mathematical imaging - Part 4: mixture, random fields and hierarchical models Abstract: This course presents an overview of modern Bayesian strategies for solving imaging inverse problems. We will start by introducing the Bayesian statistical decision theory framewo

From playlist Probability and Statistics

Video thumbnail

The Central Limit Theorem

Understanding the Central Limit Theorem

From playlist Unit 7 Probability C: Sampling Distributions & Simulation

Related pages

Eigenvector centrality | Centrality | Graph theory | Spectral radius | Adjacency matrix | Graph (discrete mathematics) | Katz centrality | Social network analysis