Week 10: Community Detection - Part 4: Optimizing Modularity

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CS 550 Lecture Series

Week 10: Community Detection - Part 4: Optimizing Modularity
  1. Hao Wang
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Week 10: Community 0:03:49

Week 10: Community Detection - Part 1: Brief Introduction

Week 10: Community 0:05:14

Week 10: Community Detection - Part 4: Optimizing Modularity

Week 10: Community 0:04:27

Week 10: Community Detection - Part 2: Betweeness and Girvan-Newman Algorithm

Week 10: Community 0:09:35

Week 10: Community Detection - Part 3: Details of Girvan-Newman Algorithm

Week 10: Community 0:07:15

Week 10: Community Detection - Part 9: Trawling

Week 10: Community 0:08:20

Week 10: Community Detection - Part 8: Spectral Clustering

Week 10: Community 0:09:30

Week 10: Community Detection - Part 5: Spectral Clustering Overview

Week 10: Community 0:09:36

Week 10: Community Detection - Part 7: Eigenvalue of Laplacian as Approximation of Optimal Cut

5 10 Community 0:04:15

5 10 Community Detection

Community Detection : 0:12:57

Community Detection : Data Science Concepts

Week 10: Community 0:08:58

Week 10: Community Detection - Part 6: Intuition on Eigenpairs and the Laplacian Matrix

Louvain method of 0:04:50

Louvain method of community detection - Step by Step

Liza Levina: Overlapping 0:28:54

Liza Levina: Overlapping community detection by spectral methods

Community Detection and 0:02:48

Community Detection and Associativity to Detect Network Threats by Akshay Peshave

Louvain Algorithm explanation 0:13:21

Louvain Algorithm explanation with example for community detection in graphs

COMMUNITY DETECTION #communitydetection#graphtheory 0:00:57

COMMUNITY DETECTION #communitydetection#graphtheory #complexnetworks #social #graphanalytics

Community Detection with 0:04:14

Community Detection with Facebook Data

Community Detection using 0:06:50

Community Detection using Girvan Newman Algorithm Part2

Community detection by 0:05:33

Community detection by label propagation in Graphileon

4 - Community 0:30:53

4 - Community Detection (7+ Ways) | Network Analysis in R!

Concentration of random 0:48:35

Concentration of random graphs and application to community detection – E. Levina – ICM2018

DycomDetector: Topic Modeling 0:05:07

DycomDetector: Topic Modeling using Community Detection in Dynamic Networks

Network Analysis. Lecture10. 1:43:07

Network Analysis. Lecture10. Community detection

7 9 Binary 0:15:41

7 9 Binary Search approach Weak ties based community detection Example 1

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