The article explores how to create graph data visualizations using Neo4j and Neovis.js, a JavaScript library for graph visualization. The goal is to leverage graph algorithms like PageRank and community detection to style the visualization. The author uses the Russian Twitter Trolls sandbox dataset to demonstrate this process, running graph algorithms on the retweet network to find important users and communities. The resulting visualization is then created using Neovis.js, with the pagerank property used to determine node size, community for color, and the count relationship property for relationship thickness. The article aims to provide a practical example of how graph visualizations can be enhanced with graph algorithms, making insights in the data more accessible.