Network Data Science: Course 2

Networks offer powerful data models for representing complex systems composed of interconnected entities. They are widely used to model diverse domains such as social interactions, biological systems, financial relationships, and user-item interactions. In such systems data is no longer a collection of IID samples, but rather measurements interconnected through pairwise relationships. Understanding the structure and dynamics of the network is essential for analyzing such systems and designing effective algorithms.