A Comprehensive Look at Bitcoin's Decentralization
Analyzing Bitcoin's decentralization through transaction history and ownership trends.
Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu
― 6 min read
Table of Contents
- What is Decentralization?
- The Bitcoin Journey
- A New Dataset for a Fresh Look
- Analyzing the Bitcoin Network
- Phases of Decentralization
- Key Metrics to Measure Decentralization
- Looking at Who Holds Bitcoin
- Ranking Stability: Who Stays on Top?
- Market Efficiency: How Well Do Bitcoin Transactions Work?
- How Network Properties Help Predictions
- Give Us the Bottom Line!
- Future Directions
- Original Source
- Reference Links
Since 2009, Bitcoin has had a wild ride, gaining attention from both scholars and business folks alike. But how decentralized is it really? This piece dives into the many angles of Bitcoin's Decentralization using a fancy dataset that covers its entire transaction history.
What is Decentralization?
Before we get into the nitty-gritty, let’s break down what decentralization means. Think of it like a pizza. If one person holds the whole pizza, that’s centralized. But if everyone shares slices, that’s decentralized. In the Bitcoin world, decentralization refers to how evenly the control and ownership of Bitcoin are spread out among its users.
The Bitcoin Journey
Bitcoin started as a cool tech experiment, and now it’s worth a lot – around 70,000 USD as of June 2024. It allows people to send money directly to each other without needing a middleman, like a bank. But despite all the chatter about how decentralized it is, not much solid research has really dug into its decentralization as an asset.
A New Dataset for a Fresh Look
To tackle this, we created a dataset that tracks Bitcoin transactions from its very first block on March 1, 2009, all the way to block number 845,651 on May 29, 2024. This dataset is not just numbers; it's a treasure trove for researchers to understand Bitcoin's ups and downs and its decentralization over time.
By looking at this dataset, we examined how Bitcoin's ownership changes. We wanted to find out which addresses hold the most Bitcoin and see how that’s changed over the years.
Analyzing the Bitcoin Network
To get a clear picture, we captured how Bitcoin moves around. We looked at all the transactions and identified who was sending money to whom. The idea was to figure out how the Bitcoin community is structured and its implications for decentralization.
We paid special attention to a select group of addresses that hold the largest amounts of Bitcoin, tracking their values daily and examining how these top addresses change over time.
Phases of Decentralization
Through our examination of the network, we noted three key phases of decentralization:
-
Increasing Decentralization (2009-2010): In this early stage, many people jumped in, and Bitcoin was widely spread across different users. A ton of newcomers meant that no single address held too much control.
-
Decreasing Decentralization (2010-2012): As Bitcoin gained traction, a few addresses began to amass large holdings, indicating a trend toward centralization. More and more Bitcoin started piling up in fewer wallets, which raised some eyebrows.
-
Long-Term Stability (2012-Present): Although the top holders still control sizable amounts of Bitcoin, the distribution has stabilized. The control is more evenly distributed now, and changes happen slowly.
Key Metrics to Measure Decentralization
To truly grasp how decentralized Bitcoin is, we looked at several key metrics:
-
Betweenness Centrality: This tells us how often an address acts as a bridge between others. If one address often connects different users, it has high betweenness. We observed that in the early years, a few addresses had a lot of influence, but that influence has spread out over time.
-
Closeness Centrality: This measures how quickly an address can interact with others in the network. Higher values suggest that an address can quickly affect the flow of Bitcoin. Again, early on, some addresses were close to many others, but this has evened out.
-
In-Degree and PageRank: These metrics help us see how many assets flow into an address and how much trust it commands. The trends suggest that while some addresses had major control early on, gradually, Bitcoin is becoming less concentrated.
Looking at Who Holds Bitcoin
We also examined the biggest players in the Bitcoin market. By looking at the addresses that hold the most Bitcoin, we could see if a small number of them dominate. The results showed a distinct shift over time – early on, a few addresses held most of the Bitcoin, but as more users joined, the wealth became more dispersed.
Ranking Stability: Who Stays on Top?
Another angle we explored was how stable these top addresses are over time. Are the same addresses consistently ranking high, or do they change frequently? We found that although the top addresses tend to stay the same, there is also a fair amount of movement.
If the same addresses keep popping up at the top, that's a sign of centralization. If new addresses are joining the top ranks regularly, we might call that decentralization.
Market Efficiency: How Well Do Bitcoin Transactions Work?
We treated Bitcoin like any other market to study its efficiency. Using a measurement called the Herfindahl-Hirschman Index (HHI), we looked at market concentration. A high HHI means the market is dominated by a few players.
We discovered two ways to look at the data – one treats each address as its own player, while the other groups similar addresses together. Both methods showed interesting contrasts in how decentralized or centralized Bitcoin ownership is.
How Network Properties Help Predictions
We ran several experiments to assess how the data and our decentralization metrics can forecast Bitcoin behavior. This included predicting transaction fees and the MVRV-Z score, which helps determine if Bitcoin is overpriced or not.
By analyzing historical data, we tried to predict future trends. It turned out that using both network properties and decentralization metrics significantly improved our forecasting abilities.
Give Us the Bottom Line!
In summary, Bitcoin's decentralization has evolved through distinct phases, moving from a highly decentralized network to one that experienced moments of centralization, and is currently achieving a stable form of decentralization.
While a few addresses hold significant amounts of Bitcoin, the overall distribution has improved over time, making the network healthier. Our dataset serves as a critical tool for understanding these shifts and can help researchers and enthusiasts alike gain better insights into Bitcoin's future in the financial landscape.
Future Directions
As we look ahead, the plan is to apply our findings to other cryptocurrencies and also to consider other elements, like mining power, for a more comprehensive view of decentralization.
Bitcoin’s evolution continues, and with it, the way we understand its structure and behavior. So, whether you’re a Bitcoin enthusiast or just curious, there’s a lot more to explore in this fascinating digital world!
Title: A Full-History Network Dataset for BTC Asset Decentralization Profiling
Abstract: Since its advent in 2009, Bitcoin (BTC) has garnered increasing attention from both academia and industry. However, due to the massive transaction volume, no systematic study has quantitatively measured the asset decentralization degree specifically from a network perspective. In this paper, by conducting a thorough analysis of the BTC transaction network, we first address the significant gap in the availability of full-history BTC graph and network property dataset, which spans over 15 years from the genesis block (1st March, 2009) to the 845651-th block (29, May 2024). We then present the first systematic investigation to profile BTC's asset decentralization and design several decentralization degrees for quantification. Through extensive experiments, we emphasize the significant role of network properties and our network-based decentralization degree in enhancing Bitcoin analysis. Our findings demonstrate the importance of our comprehensive dataset and analysis in advancing research on Bitcoin's transaction dynamics and decentralization, providing valuable insights into the network's structure and its implications.
Authors: Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu
Last Update: 2024-11-19 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2411.13603
Source PDF: https://arxiv.org/pdf/2411.13603
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.