Abstract

Over decades, online social networks, like Facebook, Twitter, and Instagram have played an important part in people’s sociality. The impact that connected community have on health offers opportunities on research, distribution and survey information. Many issues including mental health problems have risen up on online social networks while people enjoyed the new kind of sociality. Computation Social Analysis has developed to be a central methodology to explore human behavior on sociality, especially on online social networks, thanks to Big Data and advanced data analytic techniques. This special session is focused on computational analysis, specifically for new research challenges, initiatives, new discoveries and emerging approaches for detection, prevention and helping people with mental health problems based on social observations. We consider Mental health as the definition done by WHO (2014): “a state of well-being in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make contribution to her or his community”.