Capturing interactions in face-to-face social networks

Online social networks, formed by cyber interactions between users, are nowadays explored in a number of papers. In this work, we present our experimental activity on Face-To-Face (F2F) social networks tracing physical interactions of humans in real-world scenarios. We briefly present the technologies to observe F2F social networks focusing on the SocioPatterns platform that we have employed in our real-world experiments. Motivated by the requirements of heterogeneous applications, we discuss how to tune the SocioPatterns collection protocol parameters in order to better capture fast interactions between users; carried out experiments confirm the effectiveness of such tuning.