There exists a strong interdependencies among dynamics and social interactions on the online world and the ones taking place in the real world but still, until recently, there has been a lack of real data spanning across online and offline realities. The Live Social Semantics application that I will present, overcomes this gap. It integrates data about people from (a) their online social networks and tagging activities, (b) their publications and co-authorship networks from semantic repositories, (c) their real-world face-to-face contacts collected via a network of wearable active sensors. The two papers that I will present, explain the architecture of the Live Social Semantic application, investigate the data collected by it during its deployment at three major conferences. In particular the analysis stresses the influence of various personal properties (e.g. seniority, conference attendance) on social networking patterns.