Media Summary: Given a partition of a network into potential communities, we can use People connect and organize themselves in communities. Using graph theory, we can model these networks and uncover the ... Introduces Community Detection, Graph Partitioning, and the Kernighan-Lin
Netsci 06 2 Modularity And The Louvain Method - Detailed Analysis & Overview
Given a partition of a network into potential communities, we can use People connect and organize themselves in communities. Using graph theory, we can model these networks and uncover the ... Introduces Community Detection, Graph Partitioning, and the Kernighan-Lin I prepared this video primarily for students attending Social Media Analytics 2020 at University of Fribourg, Switzerland. How do we detect communities in social networks? Girvan-Newman This lecture describes a prominent approach to clustering data, covering simple applications of the approach and culminating with ...
For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: CS442 - Introduction to Data Science, Topic152: Social Networks - Community detection is a key tool in order to understand the structure of the graph. In this talk we will go over
