Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Community structure

Related lectures (25)

Search and Routing Protocols

Explores unstructured and structured search and routing protocols, emphasizing the importance of network structure assumptions and introducing the 'Bubble Storm' algorithm.

Graph Mining: Modularity and Community Detection

Explores community detection in graphs using modularity and edge betweenness.

Dynamic Communication Networks: Structures and Predictability

Explores fundamental structures of dynamic communication networks, including predictability in human mobility and network communities.

The Transhipment and Transportation Problems MOOC: Optimization: principles and algorithms - Network and discrete optimization

Covers the transhipment and transportation problems in electricity distribution in Switzerland.

Handling Network Data

Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.

Inference for Stochastic Processes: Large Networks Analysis

Explores inference for stochastic processes, emphasizing large networks analysis and the need for new theories and methods.

Network Formation: Random Connection Models

Explores network formation through random connection models and node degree distribution.

Epidemic Spreading Models

Covers classical models of epidemic spreading and dynamics on networks with examples.

Clustering: Dimensionality Reduction

Explores clustering and dimensionality reduction techniques in finance to clean and simplify data.

Handling Network Data

Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.

Crystallization and Rubber Elasticity

Explores crystallization kinetics, rubber elasticity, and network formation through crosslinking and entropy-driven processes.

Handling Networks: Graph Theory

Covers the fundamentals of handling networks and centrality measures in graph theory.

IP Addressing and Routing: Basics and Examples

Explains IP addressing, routing, and TCP packet meta-data, along with practical routing table considerations.

Handling Networks: Graph Theory

Explores graph theory concepts, centrality measures, and real-world network properties, providing insights into handling diverse types of networks.

Detecting Communities in Random Graphs

Delves into detecting communities in random graphs, exploring fundamental laws, phase transitions, and spectral algorithms.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Mining Social Graphs Log in to Mediaspace to watch this video

Explores mining social graphs, regularization, community structures, and community detection algorithms in various applications.

Graph Coloring: Theory and Applications Log in to Mediaspace to watch this video

Explores graph coloring theory, spectral clustering, community detection, and network structures.

Social Network Analysis: Modularity Measure Log in to Mediaspace to watch this video

Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.

Modularity: Community Detection Algorithms Log in to Mediaspace to watch this video

Explores the Louvain Modularity Algorithm for optimizing community quality through modularity and its applications in social network analysis.