Network Analysis. Lecture 11. Diffusion and random walks on graphs
Random walks on graph. Stationary distribution. Physical diffusion. Diffusion equation. Diffusion in networks. Discrete Laplace operator, Laplace matrix. Solution of the diffusion equation. Normalized Laplacian. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lectu
From playlist Structural Analysis and Visualization of Networks.
Network Analysis. Lecture 15. Diffusion of innovation and influence maximization.
Diffusion of innovation. Independent cascade model. Linear threshold model. Influence maximization. Submodular functions. Finding most influential nodes in networks. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture15.pdf
From playlist Structural Analysis and Visualization of Networks.
Network Analysis. Lecture 13. Epidemics on networks
Spread of epidemics on networks.SI, SIS, SIR models. Epidemic threshold. Simulation of infection propagation. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture13.pdf
From playlist Structural Analysis and Visualization of Networks.
Fundamental concepts of intrusion detection are discussed. Various types of intrusion are analyzed. Password management is explained.
From playlist Network Security
Fundamental concepts of intrusion detection are discussed. Various types of intrusion are analyzed. Password management is explained.
From playlist Network Security
Network Analysis. Lecture 14. Social contagion and spread of information.
Information diffusion. Rumor spreading models. Homogenous and mean field models. Examples. Cascades and information propagation trees. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture14.pdf
From playlist Structural Analysis and Visualization of Networks.
Network Analysis. Course introduction.
Introduction to the Social Network Analysis course.
From playlist Structural Analysis and Visualization of Networks.
Network Analysis. Lecture 6. Link Analysis
Directed graphs. PageRank, Perron-Frobenius theorem and algorithm convergence. Power iterations. Hubs and Authorites. HITS algorithm. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture6.pdf
From playlist Structural Analysis and Visualization of Networks.
GCSE Science Revision Biology "Diffusion"
Find my revision workbooks here: https://www.freesciencelessons.co.uk/workbooks/ In this video, we look at diffusion. I take you through the concept of diffusion and then we look at three factors that affect the rate of diffusion. Image credits: All images were created by and are the pro
From playlist 9-1 GCSE Biology Paper 1 Cell Biology
Shock Diffusion: Does inter-sectoral network structure matter? by Shekhar Tomar
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
SICSS 2017 - Guest Lecture by Sandra Gonzalez-Bailon (Day 4. June 22, 2017)
The first Summer Institute in Computational Social Science was held at Princeton University from June 18 to July 1, 2017, sponsored by the Russell Sage Foundation. For more details, please visit https://compsocialscience.github.io/summer-institute/2017/
From playlist Guest Speakers
Smita Krishnaswamy: "Manifold-Learning Yields Insights into Single Cell Data Analysis"
Computational Genomics Winter Institute 2018 "Manifold-Learning Yields Insights into Single Cell Data Analysis" Smita Krishnaswamy, Yale University Institute for Pure and Applied Mathematics, UCLA February 27, 2018 For more information: http://computationalgenomics.bioinformatics.ucla.e
From playlist Computational Genomics Winter Institute 2018
Aydogan Ozcan - Diffractive Optical Networks & Computational Imaging Without a Computer
Recorded 14 October 2022. Aydogan Ozcan of the University of California, Los Angeles, presents "Diffractive Optical Networks & Computational Imaging Without a Computer" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: I will discuss diffractive optical networks design
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Network Analysis. Lecture10. Community detection
Community detection algorithms. Overlapping communities. Clique percolation method. Heuristic methods. Label propagation. Fast community unfolding. Random walk based methods. Walktrap. Nibble. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture10.pdf
From playlist Structural Analysis and Visualization of Networks.
Multiscale modeling and simulations to bridge molecular... - 1 October 2018
http://www.crm.sns.it/event/422/ Multiscale modeling and simulations to bridge molecular and cellular scales Predicting cellular behavior from molecular level remains a key issue in systems and computational biology due to the large complexity encountered in biological systems: large num
From playlist Centro di Ricerca Matematica Ennio De Giorgi
DDPS | 'No Equations, No Variables, No Parameters, No Space and No time' by Yannis Kevrekidis
Title: 'No Equations, No Variables, No Parameters, No Space and No time, Data and the Modeling of Complex Systems' Description: I will start by showing how several successful NN architectures (ResNets, recurrent nets, convolutional nets, autoencoders, neural ODEs, operator learning....) h
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Victor Bapst: Unveiling the predictive power of static structure in glassy systems
Despite decades of theoretical studies, the nature of the glass transition remains elusive and debated, while the existence of structural predictors of its dynamics is a major open question. Recent approaches propose inferring predictors from a variety of human-defined features using machi
From playlist Talks | AI for science
The Vertebrate limb: An evolving complex of self organizing systems (Remote Talk) by Stuart Newman
ORGANIZERS : Vidyanand Nanjundiah and Olivier Rivoire DATE & TIME : 16 April 2018 to 26 April 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This program is aimed at Master's- and PhD-level students who wish to be exposed to interesting problems in biology that lie at the biology-
From playlist Living Matter 2018
Diffusion Models | Paper Explanation | Math Explained
Diffusion Models are generative models just like GANs. In recent times many state-of-the-art works have been released that build on top of diffusion models such as #dalle or #imagen. In this video I give a detailed explanation of how they work. At first I explain the fundamental idea of th
From playlist Paper Explanations
Risk Management of Option Books with Arbitrage-Free Neural-SDE Market Models (SIAM FME)
SIAM Activity Group on FME Virtual Talk Series Join us for a series of online talks on topics related to mathematical finance and engineering and running every two weeks until further notice. The series is organized by the SIAM Activity Group on Financial Mathematics and Engineering. Spe
From playlist SIAM Activity Group on FME Virtual Talk Series