Analyzing the intersecting elements of hierarchical datasets is a critical task. We enhance the visual expression of hierarchical data and the visual exploration of the set/element attribute referring to the related visualizations. Therefore, we propose the visualization to analyze users’ activities from the social media dataset and further explore the key users and their behaviors. We present the intersecting elements to achieve reliable scalability through a hierarchical visualization according to the attributes in the dataset. Moreover, we adopt the multiview visualization to explore the posts and user profiles between issues to achieve an intuitive visual layout and integrate user interaction into hierarchical data. Furthermore, we compare user activities between issues, integrate the interacted attributes through the intersecting activities, and highlight the critical information of posts and user profiles. In our approach, we analyze the intersecting elements in issues of the multiple hierarchical sets from the social media and identify the impact events from the activities of user interactions.