The Asymptotics of Betti Numbers in Preferential Attachment Clique Complexes
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the higher-order connectivity of preferential attachment networks through an in-depth analysis of Betti numbers in clique complexes. Delve into a 46-minute lecture that examines the asymptotic growth rates of expected Betti numbers as network size increases, revealing sublinear growth patterns with a notable exception of linear growth for the first Betti number. Gain insights from theoretical findings supported by simulation results, based on collaborative research presented in the associated preprint. Enhance understanding of complex network structures and their topological properties in this Applied Algebraic Topology Network presentation.
Syllabus
Chunyin Siu (11/1/23): The Asymptotics of Betti Numbers of Preferential Attachment Clique Complexes
Taught by
Applied Algebraic Topology Network
Related Courses
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse JohnsonOpen Data Science via YouTube Analyzing Point Processes Using Topological Data Analysis
Applied Algebraic Topology Network via YouTube MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity
Applied Algebraic Topology Network via YouTube Topological Data Analysis of Plant-Pollinator Resource Complexes - Melinda Kleczynski
Applied Algebraic Topology Network via YouTube Hubert Wagner - Topological Data Analysis in Non-Euclidean Spaces
Applied Algebraic Topology Network via YouTube