Complexity and Complex Networks
Explore the fundamental differences between complex networks and simple random graphs, focusing on hubs, clusters, and power-law distributions. Understand complexity as emergent behavior from network structure and learn how these properties enable applications like disease spread estimation, social analysis, and recommendation systems.
We’re now going to dive into the concept of complex networks and complexity, and how they’re different from the simple random graph models.
The limitations of the random graph model
A complex network is a graph that models a complex system and contains topological characteristics and structures that we can’t find in ...