Complex network

Formal sciences
Mathematics
Discrete mathematics
Graph theory

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (28)

Page 2 of 3

Introduction to Networks and Brain Networks

Introduces the fundamentals of network science, focusing on brain networks and their historical breakthroughs.

Handling Network Data

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

Topology in Complex Networks: Insights from Topological Data Analysis

Explores the role of higher-order topological properties in complex networks using topological data analysis for structural break and price anomaly detection.

Paths, Diffusion, and Navigation

Explores paths in networks, brain connectivity, shortest path routing, network efficiency, navigation, and upcoming midterm.

Scale-Free Networks: Power Laws and Preferential Attachment

Explores scale-free networks, power laws, preferential attachment, and network assortativity.

Handling Networks: Graph Theory

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

Fixed Points in Graph Theory

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Centrality and Hubs

Explores centrality, hubs, eigenvectors, clustering coefficients, small-world networks, network failures, and percolation theory in brain networks.

The Quest for Universality in Computing

Explores the history of computing, the impact of the consensus problem, and ongoing research to regain universality in large-scale networks.

Graph Coloring: Theory and Applications

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