Simulation of Random Graphs, Small-World Networks, and Scale-Free Networks

This program implements simulations for random graphs, small-world networks, and scale-free networks, enabling researchers to study how network topology affects information transmission and system stability. The implementation includes algorithms for generating Erdős–Rényi random graphs using probability-based edge connections, Watts-Strogatz small-world networks through rewiring techniques that maintain high clustering while reducing path lengths, and Barabási-Albert scale-free networks employing preferential attachment mechanisms to replicate real-world network growth patterns. Through this simulation platform, users can observe and analyze the evolutionary processes of different network types. The program also supports research on network attack and defense strategies by simulating node/link failures and robustness testing, as well as network traffic optimization through routing algorithm implementations. With modular code structure and parameter customization capabilities, this simulation tool proves highly valuable for network engineers, computer scientists, data scientists, and researchers in related fields studying complex network behaviors.