Filters are an essential component in Gephi, yet can be challenging to use compared with some of the other Gephi features. That's why we're devoting an entire chapter to the use of filters, one that will spend a minimal amount of space on theory before providing many examples on how to take full advantage of the power of filtering.

So why is filtering so critical for successful network analysis and graph creation? The simple explanation is that filters help to reduce the complexity and scope of large datasets, making them easier to navigate through and understand. The better answer is that filters can help improve our ability to tell stories and communicate with our data, as they allow us to focus on the critical elements in the network. This chapter will familiarize you with Gephi filters and what they can do, and then use multiple examples that demonstrate how to apply the filters and what the results look like in our networks. We will build on this knowledge...