Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network
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Abstract (arXiv)
The cryptocurrency market is a very huge market without effective supervision. It is of great importance for investors and regulators to recognize whether there are market manipulation and its manipulation patterns. This paper proposes an approach to mine the transaction networks of exchanges for answering this question.By taking the leaked transaction history of Mt. Gox Bitcoin exchange as a sample,we first divide the accounts into three categories according to its characteristic and then construct the transaction history into three graphs. Many observations and findings are obtained via analyzing the constructed graphs. To evaluate the influence of the accounts' transaction behavior on the Bitcoin exchange price,the graphs are reconstructed into series and reshaped as matrices. By using singular value decomposition (SVD) on the matrices, we identify many base networks which have a great correlation with the price fluctuation. When further analyzing the most important accounts in the base networks, plenty of market manipulation patterns are found. According to these findings, we conclude that there was serious market manipulation in Mt. Gox exchange and the cryptocurrency market must strengthen the supervision.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jan 2019.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 1.
5 papers.
- 2023Graph Mining for Cybersecurity: A Surveycited by 5
- 2022Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networkscited by 1
- 2023Data Depth and Core-based Trend Detection on Blockchain Transaction Networkscited by 1
- 2025Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walkscited by 1
- 2022Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methodscited by 0
- 2025Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks21 Jan 2025
- 2023Graph Mining for Cybersecurity: A Survey2 Apr 2023
- 2023Data Depth and Core-based Trend Detection on Blockchain Transaction Networks24 Mar 2023
- 2022Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods27 Nov 2022
- 2022Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks3 Aug 2022