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Part of book or chapter of book
Data sources: UnpayWall
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2018 . Peer-reviewed
License: Springer TDM
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Split Payments in Payment Networks

Authors: Piatkivskyi, Dmytro; Nowostawski, Mariusz;

Split Payments in Payment Networks

Abstract

Traditional blockchain systems, such as Bitcoin, focus on transactions in which entire amount is transferred from one owner to the other, in a single, atomic operation. This model has been re-used in the context of payment networks such as Lightning network. In this work, we propose and investigate new payment model, called split payments, in which the total amount to be transferred is split into unit-amounts and is transferred independently through the same or different routes. By splitting the payments this way, we achieve an improved total liquidity of the payment network, simplify the route advertising, reduce the amount of funds needed to be locked in the channels, and improve the privacy properties.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
Green