Graph theory with similarity groups

If today is your first foray into discrete mathematics, no worries! Computer science loves to borrow from other disciplines and we've stolen these concepts from the mathematics department! We're going to explore all these concepts using what we know about cyber threat intelligence to make it easier for you to digest. Now that we know that our graph represents how we investigate a threat and that we have used our hunting and pivoting methods to create a relationship between the indicators in a node-edge graph, we will now introduce you to some concepts about relationships that can be applied to our similarity groupings. However, before we dive in, you're going to find that the graphs that represent your operational investigations are going to be complex – more complex than what will be shown in this chapter. We've decided to keep our data representation simple so that we can introduce you to the concepts we wanted to convey...