Social networks leverage algorithms to enhance user engagement by analyzing user behavior and preferences to deliver personalized content. These algorithms utilize machine learning techniques to predict what users are likely to find interesting, thereby increasing the time spent on the platform. Engagement metrics, such as likes, shares, and comments, inform the algorithms to continuously refine content delivery, creating a feedback loop. Additionally, algorithmic suggestions for friends or groups based on user interaction patterns foster community building, further keeping users active and connected within the network.