The present research aims to design a structural model of components of social intelligence influencing crisis management arising from social networks. This study is applied in terms of objective, descriptive-exploratory in terms of research execution strategy, utilizing both library (document study) and field (semi-structured interviews and questionnaires) data collection methods. The data type is mixed (qualitative-quantitative), and it is cross-sectional in terms of time frame. The population includes experts from academic centers, crisis management specialists from the Tehran municipality, and experts from the national virtual space organization, all possessing at least a master's degree and over 20 years of executive experience. Ten experts were selected for targeted interviews until theoretical saturation, and 136 individuals were chosen for questionnaire distribution. The validity of tools was ensured through content validity method, and reliability was assessed using coding at a later time for interviews and Cronbach's alpha coefficient for questionnaires. Qualitative data were analyzed using thematic analysis, while quantitative data were analyzed using structural equation modeling with Smart-Pls 3 software. The results identified three components of social intelligence: social awareness, social skills, and social information processing, and three types of crises arising from social networks: collective crises, individual crises, and security crises. In the quantitative section, the effects of each social intelligence component on crisis management arising from social networks were calculated. Finally, recommendations for managing crises arising from social networks were provided.