Stanley Milgram's famous 'six degrees of separation' experiment claims it would take 6 individuals to link two randomly selected people in the world. Although the number of 6 makes the statement very challenging, latest studies claim that the number of intermediate links decreased to even 4 with the high usage of technology. These outcomes tell us two important things: first, the world is not as big as we thought it was. And second, connections matter!
Some people are special and those people might impact lots of things, including analytical models and related business decisions. Critical questions are: who are these people and how can we detect them? Who are leaders, who are followers, who are just outliers? And, more importantly, can determining those people and the network structure of the groups they belong to help us to make more effective business decisions or not?
This session will dive into these questions and explains the basic concepts of social network analysis

Target Audience: BI/Business Analytist, Data Scientist, BI Manager, Analytics team lead
Prerequisites: Basic BI and database knowledge
Level: Advanced