Scaling Laws of Network Value

This book bridges two seemingly distinct worlds—network theory and machine learning—to reveal the universal laws of scalability that underlie both. It examines how value, capacity, and performance evolve as systems expand, offering a unified framework that connects Metcalfe’s Law with neural scaling laws.By comparing network growth and model scaling, the book uncovers striking parallels: the dimin...