Random Walk Simulation for Information Propagation Speed

This research paper presents a random walk simulation program designed to model information propagation speed. The program architecture incorporates multiple computational factors including transmission path generation algorithms, velocity parameterization, and source-target coordination mechanisms. Key implementation features involve Markov chain-based random path selection, time-step propagation modeling, and distance metrics calculation. Through algorithmic analysis of these components, we derive conclusions about information transmission efficiency. The simulation includes comprehensive result visualizations using graph plotting libraries, enabling intuitive observation of propagation pattern variations and statistical regularities. This study examines the significance of information transmission dynamics and demonstrates procedural modeling techniques for simulating propagation processes, offering both research value and practical applications in network analysis.