Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Clara Stegehuis- Optimization-Based Analysis of Random Graphs I

Hausdorff Center for Mathematics via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the world of random graph models and their applications in network analysis through this 59-minute lecture by Clara Stegehuis from the Hausdorff Center for Mathematics. Delve into the general properties of random graph models, focusing on those with power-law degree distributions and clustering characteristics. Learn about an innovative optimization-based method that simplifies the detection of network property scaling, particularly useful for analyzing heavy-tailed degree distributions. Discover how this approach extends to networks with underlying geometric structures, providing a comprehensive understanding of complex network analysis techniques.

Syllabus

Clara Stegehuis: Optimization-based analysis of random graphs I

Taught by

Hausdorff Center for Mathematics

Reviews

Start your review of Clara Stegehuis- Optimization-Based Analysis of Random Graphs I

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.