Lightning Network Economics: Topology

19 Pages Posted: 9 May 2023 Last revised: 19 Sep 2023

See all articles by Paolo Guasoni

Paolo Guasoni

Boston University - Department of Mathematics and Statistics; Dublin City University - School of Mathematical Sciences; University of Bologna - Department of Statistics

Gur Huberman

Columbia University - Columbia Business School, Finance

Clara Shikhelman

Chaincode Labs

Date Written: February 3, 2023

Abstract

By design, the Bitcoin protocol has a low throughput. The Lightning Network (LN) is a layer-two solution built to increase throughput by cryptographically securing commitments to transactions and only occasionally converting cumulative balances into on-chain transactions. LN channels enable payments between nodes connected by a path of channels. The payment flow through a channel determines its cost. Different channel topologies can support the same underlying flows, but impose different costs. This paper obtains necessary conditions for cost-minimizing topologies by identifying local cost reducing strategies: The first local strategy entails repositioning of channels. The second entails adding hubs to handle the flows of group of nodes. The paper also evaluates the efficiency of a global configuration, obtaining bounds on the cost of the cost-minimizing topology and showing the unusual circumstances in which the cost minimal structure is a hub that connects to all other nodes.

Keywords: payments, lightning network, channels, topology, cost minimization.

JEL Classification: E42, D85

Suggested Citation

Guasoni, Paolo and Guasoni, Paolo and Huberman, Gur and Shikhelman, Clara, Lightning Network Economics: Topology (February 3, 2023). Michael J. Brennan Irish Finance Working Paper Series Research Paper No. 23-6, Available at SSRN: https://ssrn.com/abstract=4439190 or http://dx.doi.org/10.2139/ssrn.4439190

Paolo Guasoni (Contact Author)

Dublin City University - School of Mathematical Sciences ( email )

Dublin
Ireland

HOME PAGE: http://www.guasoni.com

Boston University - Department of Mathematics and Statistics ( email )

Boston, MA 02215
United States

University of Bologna - Department of Statistics ( email )

Bologna, 40126
Italy

Gur Huberman

Columbia University - Columbia Business School, Finance ( email )

3022 Broadway
New York, NY 10027
United States
(212) 854-5553 (Phone)

Clara Shikhelman

Chaincode Labs ( email )

450 Lexington Avenue
New York, NY 10017
United States

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