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

YouTube

Complex Networks Sparsification - Methods and Tools

Data Science Conference via YouTube

Overview

Learn about network sparsification methods and tools in this technical tutorial from the Data Science Conference Europe 2023, where Marija Mitrovic Dankulov explores the inherent sparsity of real complex networks and addresses the common challenge of missing direct connection information between nodes. Discover effective techniques for inferring meaningful connections in noisy networks and distinguishing between essential and non-essential edges in dense network structures, with practical applications in complex word networks and online social networks. The hour-long presentation provides valuable insights into handling network data when direct connection information is limited, offering solutions for researchers and practitioners working with complex network analysis.

Syllabus

Complex networks sparsification: methods and tools | Marija M. Dankulov | DSC Europe 23

Taught by

Data Science Conference

Reviews

Start your review of Complex Networks Sparsification - Methods and Tools

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.