This paper explores how Big Data analytics, particularly data from digital platforms and social media, can be utilized to understand the sociability dynamics of youth in the digital context. Using a mixed-methods approach, the study leverages the vast amounts of data generated by online activities to assess how these interactions influence the formation and maintenance of social relationships among young people. By analyzing social media data, the study examines various aspects of digital sociability, including the frequency and nature of interactions, the size of personal social networks, and the quality of online relationships compared to offline ones. The research employs Social Network Analysis (SNA) techniques and machine learning algorithms to map relationships among youth and identify the factors shaping their sociability in an increasingly connected world. The findings highlight that while young people can expand their social networks through digital platforms, the quality of their interactions is sometimes questioned, particularly in terms of the depth of relationships and social support. The study also explores the impact of social media usage on the social integration and sense of belonging of youth within virtual communities. In conclusion, this paper suggests that Big Data analytics provides a powerful tool for deciphering the patterns of digital sociability among young people, with significant implications for understanding their social integration in a progressively digitalized environment.