In this final chapter, we covered a few key areas that focused on Gephi and network graph analysis at a more holistic level.

We learned how to understand and ultimately enhance existing network graphs through the use of many of Gephi's capabilities. We learned how to use regex to provide additional insight into an existing network, particularly when the network data provides no obvious starting points for analysis. From there, we employed our more familiar skills of filtering, sizing, and coloring graph elements to create a more accessible user experience.

We then created two projects from scratch using publicly available datasets. In the first example, we took a static network, enhanced its appearance, and made it interactive on the Web. In our second case, we created a dynamic network by building time intervals that documented member patterns, and ultimately created a time lapse project as a PDF output.

In our final section, we took a look at the future of network graph analysis and where it might be heading. We looked at the possibilities enabled by advanced technology as well as opportunities for horizontal expansion through the application of network analysis methods to additional disciplines.

I hope this book has helped provide you with opportunities to leverage Gephi more effectively to address your own network analysis needs. In addition, my hope is that I have triggered some additional ideas that you might pursue as you continue to investigate this fascinating yet largely untapped field.