Researchers are exploring the use of network approaches to assess and predict various types of risks, including those related to heavy rainfall, geological disasters, and flooding. Different methods, such as directed weighted networks and graph-based analysis, are being applied to understand complex hazard chains and risk factors in various contexts. The studies appear to be focused on developing quantitative analysis tools to enhance risk assessment and decision-making in areas like food safety, flood prediction, and industrial safety.