Network modeling is a field of research that involves the creation and analysis of mathematical models to describe and simulate the behavior of complex systems made up of interconnected elements. In the context of network modeling, researchers focus on studying the structure and dynamics of various types of networks, such as social networks, communication networks, biological networks, and transportation networks. Network modeling can help researchers understand how information, resources, and influence flow within a network, and how the structure of the network influences its overall behavior. By using mathematical and computational tools, researchers can develop models that capture the key properties of a network, predict its behavior under different conditions, and optimize its performance. Overall, network modeling plays a crucial role in a wide range of disciplines, including computer science, engineering, physics, sociology, biology, and economics, and has applications in fields such as social media analysis, epidemic spread, infrastructure planning, and supply chain management.