View Proposal

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Proposer

Timothy Yap

Title

Real-Time Analysis and Visualization of Bitcoin Network Metrics

Goal

To design and implement a real-time Bitcoin network analytics and monitoring platform that collects, analyzes, and visualizes blockchain and node-level metrics to provide insights into network performance, connectivity, transaction activity, and overall network health.

Description

The Bitcoin network operates as a decentralized peer-to-peer system in which nodes continuously exchange transactions, blocks, and network messages. Monitoring and analyzing these activities can provide valuable insights into network behaviour, performance trends, transaction dynamics, and node health. This project aims to develop a real-time Bitcoin network analytics and monitoring platform capable of collecting data from one or more Bitcoin nodes and blockchain data sources. The system will gather metrics related to network connectivity, transaction propagation, mempool activity, block generation, and node performance. Beyond visualization, the platform will incorporate analytics capabilities to identify patterns, track historical trends, detect anomalies, and generate meaningful summaries of network activity. The backend will aggregate and store time-series data from available network and blockchain sources, while the frontend will present interactive visualizations and analytical reports. The resulting platform will serve as both an educational and diagnostic tool for understanding Bitcoin's decentralized architecture, network behaviour, and operational characteristics. Possible metrics include: Peer connectivity and network topology indicators Block arrival and block interval statistics Mempool size and transaction throughput Transaction fee trends Network latency and synchronization status Node uptime and resource utilization Historical performance trends Anomaly detection and event identification

Resources

Bitcoin Core, Python, Time-series databases (e.g., InfluxDB, TimescaleDB), Data visualization frameworks (e.g., Grafana, Plotly, Streamlit), Blockchain APIs and node monitoring tools Prometheus and monitoring exporters

Background

Python Programming, Data Analytics, Data Visualization, Blockchain Fundamentals, Databases

Url

Difficulty Level

Easy

Ethical Approval

None

Number Of Students

1

Supervisor

Timothy Yap

Keywords

bitcoin, blockchain, network analytics, observability, monitoring, data visualization, time-series analysis, distributed systems

Degrees