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HPC Application in Analysis of Large Scale Complex Networks

Data Science Conference via YouTube

Overview

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Explore high-performance computing applications for analyzing large-scale complex networks in this comprehensive tutorial from DSC Europe 24. Learn about essential social network properties including degree distribution, clustering coefficient, and path length while discovering how to effectively utilize the Networkit module. The presentation demonstrates practical techniques for leveraging GPU infrastructure to efficiently process and analyze massive social network datasets. Gain valuable insights into advanced network analysis methodologies that can be applied to complex, large-scale data structures. This technical session, delivered by Marija Mitrovic Dankulov on November 18th in Belgrade, provides both theoretical foundations and practical implementation strategies for data scientists working with extensive network data.

Syllabus

HPC application in analysis of large scale complex networks | Marija M. Dankulov | DSC Europe 24

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Data Science Conference

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