In this blog post, Katarina Supe explains how to create a real-time data visualization application using React and D3.js, which connects to a Flask server via WebSocket. The application visualizes Twitter users who retweet with the hashtag #christmas, highlighting different user communities with distinct colors using a dynamic PageRank algorithm. The project, which is available on GitHub, is dockerized and consists of several services, including a Python script that collects retweets, a Kafka cluster, and a Memgraph analytics platform. The frontend of the app is developed with the create-react-app npm package and utilizes the Socket.IO library to manage WebSocket connections, allowing real-time updates to the visualization. The blog provides insights into the React.Component lifecycle methods used for integrating D3.js within React components, along with an explanation of the visualization updates and dynamic community detection in the Twitter network. Supe emphasizes the learning experience gained from this project and acknowledges the influence of a similar project by her colleagues, which uses Angular for real-time visualization.