People interact frequently with others in their daily life. Mobile phone has become one of essential parts of people’s daily life, data collected from mobile phones have the potential to infer the relational dynamics of individuals. This study addresses the problem of interpre(ng social rela(onships from human – human interactions captured by mobile sensing networks.
Inferring Social Relations by Using Real-World Sensing Data