Building a BitClout Social Network Visualization App With Memgraph and D3.js

The tutorial provides a detailed guide on building a BitClout social network visualization app using Memgraph, Python, and D3.js. BitClout is a decentralized social network built on its custom blockchain, allowing users to speculate on the value of people and posts. The tutorial explains how to utilize Docker for containerization to facilitate cross-platform development, and how to scrape BitClout data using Python tools like Selenium and Beautiful Soup. It details the creation of a Flask server backend to visualize the BitClout network, including setting up the server, populating the database with CSV data, and handling HTTP requests. The frontend is constructed using D3.js, with a focus on choosing between canvas and SVG for rendering, and implementing drag and zoom functionalities for interactive visualization. The tutorial concludes by demonstrating how to Dockerize the application and provides steps to launch the app, emphasizing the role of Memgraph in handling streaming data and building sophisticated models for real-time querying.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.