Social data obtained from social networks first undergo preliminary processing to remove the social data that do not have a workable attribute. Next, the social data go through machine learning process and stored firstly in a cache of main server and later on in a big data database that is distributed into different servers at different locations, with the purpose of better security and efficiency. When a client requests or search a certain attribute, such as location, the well processed and organized social data stored in the cache and the big data database will be searched in order to find the corresponding social data, which will then be present at a map based on such social data's location attribute. The foregoing process can be implemented as an application of a handheld device, such as cell phone, or a website that is accessible for both handheld device and computer.