Abstract: Social Network data analysis has become both an important research topic as well as a tool of modern business. We’ll discuss the characteristics of three major components of social data analysis: the acquisition, clustering and map/reducing, and visualization of data. Examples of benefits and drawbacks of various clustering algorithms and forms of visualization will be discussed, and we’ll present a workflow that shows off several of these techniques.