In this chapter we worked on how to obtain and visualize our Facebook graph, applying some layouts with Gephi such as Force Atlas and Fruchterman-Reingold. Then we introduced some of the statistical methods to get aggregate information such as degree, centrality, distribution, and ratio. Finally, we developed our own visualization tool with
D3.js, transforming the data from GDF into JSON.
In the next chapter, we will present a short introduction to the Twitter API to retrieve, visualize, and analyze tweets. Then, we will proceed to perform a sentiment analysis.