Networks are treated as complex systems whose structure governs information flow, resilience, and sensing. Dominant patterns include small-world connectivity—high local clustering with short global separation—and scale-free degree distributions that appear in Internet topology and other networks. Methodologically, the period emphasizes empirical measurements, mathematical modeling, and scalable algorithms for large networks, alongside hardware-inspired concepts that foreshadow neuromorphic processing for real-time tasks.