Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Concept
Community structure
Formal sciences
Mathematics
Discrete mathematics
Graph theory
Graph Chatbot
Related lectures (25)
Login to filter by course
Login to filter by course
Reset
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.
Mining Social Graphs
Explores mining social graphs, regularization, community structures, and community detection algorithms in various applications.
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.
Graph Coloring: Theory and Applications
Explores graph coloring theory, spectral clustering, community detection, and network structures.
The Transhipment and Transportation Problems
Covers the transhipment and transportation problems in electricity distribution in Switzerland.
Social Network Analysis: Modularity Measure
Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.
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.
Modularity: Community Detection Algorithms
Explores the Louvain Modularity Algorithm for optimizing community quality through modularity and its applications in social network analysis.
Handling Network Data
Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.
Graph Mining: Social Networks Analysis
Explores graph mining in social networks, covering modularity algorithms and community detection.
Electrical Properties of Ionic Materials
Explores the electrical properties of ionic materials, their resistivity, ion mobility, and conductivity.
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.
Social and Information Networks: Structure
Explores the structure of social and information networks, focusing on giant components, clustering, tie formation, and network connectivity.
Network Analysis: Methods and Applications
Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.
Previous
Page 1 of 2
Next