The present application relates to data analysis in the field of big data, in particular to risk management in relational network analysis, i.e., a risk assessment method, apparatus, computer device and storage medium. The method comprises the following steps: receiving items to be audited, wherein the items to be audited carry indicators to be audited; Sending the index to be audited to the corresponding first auditing terminal, and receiving the index score corresponding to the index to be audited returned by the first auditing terminal; The index score is standardized, and the standardizedindex score is inputted to the scoring model to calculate the total index score corresponding to the first audit terminal; Acquiring audit rights corresponding to the first audit terminal, and selecting audit weights corresponding to the audit rights; The total risk score is calculated according to the audit weight and the total index score, and the risk assessment report is generated according tothe total risk score. The method can improve the efficiency of risk assessment.