Dynamic Display of Bitcoin Network Topology Efficiently

Abstract

A big and always-changing network of nodes that are connected to each other is what makes Bitcoin and other decentralized block chain networks safe, scalable, and reliable. It takes a lot of time and work to accurately map and analyses these large-scale topologies because of their communication overhead and inherent complexity. We introduce a novel topology discovery methodology that addresses this issue by integrating lightweight “probe” nodes for quick data collection, a clustering mechanism to aggregate stable nodes for enhanced accuracy, and a visualization system capable of displaying the network's layered structure in realtime. Our tests on the Bitcoin network demonstrate that the suggested solution gets 95 % of the mapping right and cuts down on communication cost by roughly 72 %. The framework's architecture is not particular to Bitcoin; instead, the methodology can be used to various blockchain networks with similar peer-to-peer topologies. It may be used by researchers, developers, and system administrators to evaluate, monitor, and improve distributed ledger systems because it is scalable and works well. Its generalizability ensures that it can affect several blockchain ecosystems.