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Chaos Solitons & Fractals
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Article . 2021
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Chaos Solitons & Fractals
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The Weighted Bitcoin Lightning Network

Authors: Lin, Jian-Hong; Marchese, Emiliano; Tessone, Claudio; Squartini, Tiziano;

The Weighted Bitcoin Lightning Network

Abstract

The Bitcoin Lightning Network (BLN) was launched in 2018 to scale up the number of transactions between Bitcoin owners. Although several contributions concerning the analysis of the BLN binary structure have recently appeared in the literature, the properties of its weighted counterpart are still largely unknown. The present contribution aims at filling this gap, by considering the Bitcoin Lightning Network over a period of 18 months, ranging from 12th January 2018 to 17th July 2019, and focusing on its weighted, undirected, daily snapshot representation - each weight representing the total capacity of the channels the two involved nodes have established on a given temporal snapshot. As the study of the BLN weighted structural properties reveals, it is becoming increasingly ‘centralized’ at different levels, just as its binary counterpart: (1) the Nakamoto coefficient shows that the percentage of nodes whose degrees/strengths ‘enclose’ the 51% of the total number of links/total weight is rapidly decreasing; (2) the Gini coefficient confirms that several weighted centrality measures are becoming increasingly unevenly distributed; (3) the weighted BLN topology is becoming increasingly compatible with a core–periphery structure, with the largest nodes ‘by strength’ constituting the core of such a network, whose size keeps shrinking as the BLN evolves. Further inspection of the resilience of the weighted BLN shows that removing such hubs leads to the network fragmentation into many components, an evidence indicating potential security threats — as the ones represented by the so called ‘split attacks’.

Chaos, Solitons & Fractals, 164

ISSN:0960-0779

ISSN:1873-2887

Country
Switzerland
Keywords

Physics - Physics and Society, Core-periphery, Blockchain-based systems; Bitcoin Lightning Network; Null models; Centralization; Core-periphery, 10009 Department of Informatics, Bitcoin Lightning Network, FOS: Physical sciences, Centralization, Physics and Society (physics.soc-ph), 000 Computer science, knowledge & systems, 3100 General Physics and Astronomy, based systems, Blockchain, 2604 Applied Mathematics, periphery, 3109 Statistical and Nonlinear Physics, Core, Blockchain-based systems, 2610 Mathematical Physics, Null models, 000 Computer science, knowledge & systems

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
18
Top 10%
Top 10%
Top 10%
Green
hybrid