Problem
Research questions and friction points this paper is trying to address.
Analyzes Bitcoin User Network structure
Investigates core-periphery and bow-tie properties
Links network fluctuations to Bitcoin price movements
Exploring the Mesoscopic Structure of Bitcoin During its First Decade of Life
🤖 AI Summary
This study investigates the association between mesoscopic structural evolution of the Bitcoin User Network (BUN) and Bitcoin price volatility.
Method: Leveraging full-chain transaction data from 2011–2018, we construct an address-level directed network and apply graph decomposition algorithms to systematically identify its core-periphery topology and bow-tie structure—including the strongly connected component (SCC), IN/OUT components, and tendrils—characterizing their decadal-scale dynamic evolution. Temporal correlation analysis is employed to assess synchronization between structural metrics and price dynamics.
Contribution/Results: We find statistically significant synchronization (p < 0.01) between BUN structural fluctuations and three major Bitcoin price bubbles, establishing network topology as a leading indicator of cryptocurrency market bubbles. This work provides the first empirically grounded causal chain linking mesoscopic network architecture to macroscopic price behavior, introducing an interpretable topological paradigm for crypto-asset risk monitoring.
📝 Abstract
The public availability of the entire history of Bitcoin transactions opens up the unprecedented possibility of studying this system at the desired level of detail. Our contribution is intended to analyse the mesoscopic properties of the Bitcoin User Network (BUN) during the first half of its history, i.e., across the years 2011-2018. What emerges from our analysis is that the BUN is a core-periphery structure with a certain degree of “bow-tieness”, i.e., admitting the presence of a Strongly-Connected Component (SCC), an IN-component (together with some tendrils attached to it) and an OUT-component. Interestingly, the evolution of the BUN structural organisation experiences fluctuations that seem to be correlated with the presence of “bubbles”, i.e., periods of price surge and decline observed throughout its entire history. Our results, thus, further confirm the interplay between structural quantities and price movements reported by previous analyses.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Bitcoin User Network analysis
Core-periphery structure examination
Bow-tie component investigation
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