Evolutionary dynamics of cryptocurrency transaction networks: An empirical study
Jiaqi Liang1,2, Linjing Li1, Daniel Zeng1,2,3
1The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Plos One
|August 18, 2018
Summary
This study analyzes the dynamic network growth of Bitcoin, Ethereum, and Namecoin. Cryptocurrency networks evolve uniquely, showing distinct properties that reflect their competitive strengths.
Area of Science:
- Computer Science
- Network Science
- Financial Technology
Background:
- Cryptocurrencies leverage blockchain technology, generating public transaction data ripe for network analysis.
- Understanding the dynamic network evolution of cryptocurrencies is crucial for assessing their growth and stability.
Purpose of the Study:
- To perform a dynamic network analysis of Bitcoin, Ethereum, and Namecoin.
- To compare the temporal evolution of key network characteristics across these three cryptocurrencies.
Main Methods:
- Analysis of accumulated network growth and monthly network construction.
- Tracing changes in degree distribution, assortativity, clustering coefficient, and largest connected component over time.
- Comparative analysis of network properties for Bitcoin, Ethereum, and Namecoin.
Main Results:
- Cryptocurrency networks exhibit unique growth patterns, not always densifying and featuring low node/edge repetition.
- Monthly transaction networks deviate from power-law distributions; Bitcoin and Ethereum show heavy-tailed, disassortative mixing.
- Bitcoin exhibits small-world characteristics, distinguishing it from Ethereum and Namecoin.
Conclusions:
- The distinct network properties of Bitcoin, Ethereum, and Namecoin reflect their evolutionary trajectories and competitive dynamics.
- These findings provide insights into the structural evolution of blockchain-based financial systems.
- The research lays groundwork for future investigations into cryptocurrency network behavior and performance.
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