For our purposes, we will define simple filters as consisting of a single filter placed on an element or attribute for the purpose of reducing the visual complexity of a network graph. The filter could be used to limit or highlight nodes, edges, partitions, or clusters in an effort to better understand and view structures within the larger network. To that end, we will devote this section to illustrate multiple examples for using simple filters to produce meaningful results that can be easily understood by the end users.

Even the so-called simple filters can help us uncover many intricacies in a network graph, particularly in cases where the network is too large to be easily deciphered by the naked eye. The following pages of examples are intended to walk you through the filtering process and provide an idea for what's possible even if you venture no further. Once again, we'll be using the primary school network to illustrate the power of simple filtering. This network...