Lecture

Branching Processes: Networks, Genealogy, Avalanche

In course
DEMO: ex reprehenderit commodo magna
Do eu et ad elit tempor enim ad in adipisicing aute nulla minim anim. Pariatur occaecat quis duis deserunt pariatur labore esse irure excepteur Lorem. Aliqua culpa in incididunt elit aliquip eu amet id. Laboris occaecat aliquip irure enim ad qui officia fugiat non occaecat aliqua sit proident anim. Fugiat voluptate consequat aute Lorem nisi aliquip qui proident elit exercitation.
Login to see this section
Description

This lecture covers the concepts of branching processes in networks, genealogy, and avalanche of activity, discussing the distribution of cluster sizes in MF percolation under broad conditions and the mean-field condition. It explores the total descendence, power law, and the survival of offspring after generations.

Instructor
excepteur sint esse
Eiusmod laboris anim duis do duis elit exercitation est non. Nisi sunt aliqua minim ipsum. Mollit cupidatat elit pariatur officia officia ut dolore est eiusmod irure culpa laboris. Velit incididunt sit ipsum consectetur culpa. Officia laborum tempor Lorem est minim. Aute pariatur non ex ut sint ut esse adipisicing est fugiat aute tempor.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (41)
Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Quantum Random Number Generation
Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Sparsest Cut: Leighton-Rao Algorithm
Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.
Bernoulli convolutions: The dimension of Bernoulli convolutions
Explores the dimension of Bernoulli convolutions, discussing fair tosses and polynomial roots.
Networks: Structure and Properties
Explores the structure and properties of networks, including dating and protein networks, small-world effect, hubs, and scale-free property.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.