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