BitClout - Who Are Content Creators Supported By? (Visualizing HODLers)

BitClout is a novel social network built on its own blockchain, allowing users to speculate on the value of people and posts with real money, similar to Bitcoin's architecture but with enhanced social network capabilities. Since its inception in March 2021, it has attracted significant investment, with users aiming to profit by identifying undervalued content creators based on the number of supporters, known as HODLers, holding their coins. The platform's community can be represented as a graph, where nodes are content creators and investors, and edges denote their connections. Utilizing algorithms like Google's PageRank and the Louvain method, users can predict which connections will form next, potentially yielding profits. The PageRank algorithm ranks creators based on the quantity of connections, while the Louvain method detects community clusters. To acquire data on HODLers, a Python script was created to scrape BitClout accounts, and the data was analyzed using Memgraph, a graph analytics platform, due to its efficiency over Python's networkx library. The data was then visualized using various tools, including MemgraphLab, D3.js, and ObservableHQ, highlighting the challenges of data presentation despite straightforward analysis.