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
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
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
What is the amplitude of a trigonometric graph
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Clustering Coefficient - 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
What are the key points to trigonometric graphs
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Important parts of a trigonometric function
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
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.
Patterns in Complexity: Teams of Nodes in Regulatory Networks Lead to a Robust... by Kishore Hari
DISCUSSION MEETING : APS SATELLITE MEETING AT ICTS ORGANIZERS : Ranjini Bandyopadhyay (RRI, India), Subhro Bhattacharjee (ICTS-TIFR, India), Arindam Ghosh (IISc, India), Shobhana Narasimhan (JNCASR, India) and Sumantra Sarkar (IISc, India) DATE & TIME: 15 March 2022 to 18 March 2022 VEN
From playlist APS Satellite Meeting at ICTS-2022
Katia Jaffres-Runser - Reduced Google Matrix analysis of Wikipedia networks
https://indico.math.cnrs.fr/event/3475/attachments/2180/2559/Jaffres-Runser-GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond
Jose Lages - World influence from Wikipedia directed networks: ...
Jose Lages - World influence from Wikipedia directed networks: academic rankings, infectious diseases, cancers and drugs https://indico.math.cnrs.fr/event/3475/attachments/2180/2561/Lages_GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond
Network Analysis. Lecture 18. Link prediction.
Link prediction problem. Proximity measures. Scoring algorithms. Prediction by supervised learning. Performance evaluation. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture18.pdf
From playlist Structural Analysis and Visualization of Networks.
Comparing the graphs of the six trigonometric functions
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Peter E. Caines: Graphon Mean Field Games and the GMFG Equations
Very large networks linking dynamical agents are now ubiquitous and there is significant interest in their analysis, design and control. The emergence of the graphon theory of large networks and their infinite limits has recently enabled the formulation of a theory of the centralized contr
From playlist Probability and Statistics
Анализ сетевых структур - лекция 3
Лектор - Жуков Леонид Евгеньевич
From playlist Network Science. Module 1, 2019
Peter Caines: "Graphon MFGs: A Dynamical Equilibrium Theory for Large Populations on Large Scale..."
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Graphon Mean Field Games: A Dynamical Equilibrium Theory for Large Populations on Large Scale Networks" Peter Caines - McGill University Abstract: Very large scale (finite) networks (VLSNs) linkin
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
MAE900_Session 13_Scientometrics_09/11/2021
To support the channel, I would like to invite you to join this channel to get access to perks: https://www.youtube.com/channel/UCfu2GCdjq50W-kL-cv3rcLw/join
From playlist Scientometrics & Bibliometrics
Graphing a Trigonometric Graph Cosine with a Horizontal Shift
👉 Learn how to graph a cosine function. To graph a cosine function, we first determine the amplitude (the maximum point on the graph), the period (the distance/time for a complete oscillation), the phase shift (the horizontal shift from the parent function), the vertical shift (the vertica
From playlist How to Graph Trigonometric Functions