Topological Analysis of Bitcoin's Lightning Network
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Abstract (arXiv)
Bitcoin's Lightning Network (LN) is a scalability solution for Bitcoin allowing transactions to be issued with negligible fees and settled instantly at scale. In order to use LN, funds need to be locked in payment channels on the Bitcoin blockchain (Layer-1) for subsequent use in LN (Layer-2). LN is comprised of many payment channels forming a payment channel network. LN's promise is that relatively few payment channels already enable anyone to efficiently, securely and privately route payments across the whole network. In this paper, we quantify the structural properties of LN and argue that LN's current topological properties can be ameliorated in order to improve the security of LN, enabling it to reach its true potential.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jan 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 3; 2025: 0; 2026: 1.
5 papers.
- 2024Channel Balance Interpolation in the Lightning Network via Machine Learningcited by 3
- 2022DyFEn: Agent-Based Fee Setting in Payment Channel Networkscited by 1
- 2024Benchmarking GNNs Using Lightning Network Datacited by 1
- 2024Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learningcited by 1
- 2026Predicting Channel Closures in the Lightning Network with Machine Learningcited by 0
- 2026Predicting Channel Closures in the Lightning Network with Machine Learning12 May 2026
- 2024Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning26 Nov 2024
- 2024Benchmarking GNNs Using Lightning Network Data5 Jul 2024
- 2024Channel Balance Interpolation in the Lightning Network via Machine Learning20 May 2024
- 2022DyFEn: Agent-Based Fee Setting in Payment Channel Networks15 Oct 2022