Dynamic Network Analysis (DNA), is an emergent field within the larger area of network analysis. At its simplest level, DNA adds a time element to the usual network structure, facilitating temporal analysis of the data.

There are many potential variables introduced when we add a time element to the network. Relationships between network nodes may strengthen, weaken, or even disappear as time unfolds. We may also witness physical movements in the network, the entry of new members, or the removal of existing nodes for a variety of reasons. In short, the network becomes increasingly complex.

What we can deduce from the preceding definition is that dynamic networks afford the possibility for greater exploration compared to traditional networks. We can see how networks are likely to evolve, witness the appearance and disappearance of links, and understand how a network changes (or is likely to change) over time. Here's what we'll cover in this chapter: