Summary
In this chapter, we worked on how to obtain and visualize a Facebook graph, detect communities, use color nodes, and apply some layouts with Gephi, such as Yifan Hu, Force Atlas, and Fruchterman-Reingold. Then, we introduced some 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.
Get Practical Data Analysis - Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
