In this year’s workshop, we aim to attract researchers from all over the world working in the field of social computing, with a particular focus on social users’ behaviors, activities, interactions, news propagations, and social influence learning models in the context of available spatial or location information. In recent years, there are more and more industries and companies that began to pay more attention to online advertisement in social networks. However, there is not clear criteria for them to place their advertisements on the social users’ accounts. One of the main hurdles is that there is a big gap between online interaction and physical purchases. This proposed workshop will provide an opportunity for industries and academics to learn the better way to fill in this gap. In different locations or regions, the users may be influenced by or may influence each other at different levels, even if they express the similar interactions. Discovering this knowledge is much challenging because the social media data is big and dynamic. And the social message are too short to carry complete information. Furthermore, it is also impractical to assume all social users would like to disclose their location information in their social networks.