Media Summary: Video explaining how edge content and interaction between the nodes can be incorporated while analyzing large social networks ... Here, we test several methods against a recently introduced class of benchmark graphs with heterogeneous distributions of ... Social Networks and Health Workshop 2019: Peter Mucha, Professor of Mathematics, UNC Chapel Hill.

Week 10 Community Detection Part - Detailed Analysis & Overview

Video explaining how edge content and interaction between the nodes can be incorporated while analyzing large social networks ... Here, we test several methods against a recently introduced class of benchmark graphs with heterogeneous distributions of ... Social Networks and Health Workshop 2019: Peter Mucha, Professor of Mathematics, UNC Chapel Hill. Authors: Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou Abstract: In this paper, we introduce a new

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Week 10: Community Detection - Part 1: Brief Introduction
Week 10: Community Detection - Part 4: Optimizing Modularity
Week 10: Community Detection - Part 8: Spectral Clustering
Week 10: Community Detection - Part 5: Spectral Clustering Overview
Week 10: Community Detection - Part 2: Betweeness and Girvan-Newman Algorithm
Week 10: Community Detection - Part 3: Details of Girvan-Newman Algorithm
Week 10: Community Detection - Part 6: Intuition on Eigenpairs and the Laplacian Matrix
Week 10: Community Detection - Part 9: Trawling
Week 10: Community Detection - Part 7: Eigenvalue of Laplacian as Approximation of Optimal Cut
5 10 Community Detection
Community Detection Algortihms:A Comparitive Analysis
Community Detection
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