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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
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The Tree of Block-Chain

Authors: Spychiger, Florian; Tasca, Paolo; Tessone, Claudio;

The Tree of Block-Chain

Abstract

This study covers the evolutionary development of block-chain technologies over the last 11 years (2009 — 2019) and sheds lights on potential areas of innovation in heretofore unexplored sub-components. For this purpose, we collected and analysed detailed data on 107 different block-chain technologies and studied their component-wise technological evolution. The diversity of their designs was captured by deconstructing the block-chains using the Tasca-Tessone taxonomy (2019) to build what we call the "tree of block-chain" composed of block-chain main and sub-components. With the support of information theory and phylogenetics, we found that most design explorations have been conducted within the components in the areas of consensus mechanisms and cryptographic primitives. We also show that some sub-components like {Consensus Immutability and Failure Tolerance}, {Access and Control layer} and {Access Supply Management} have predictive power over other sub-components. We finally found that few dominant design models - the genetic driving clusters of Bitcoin, Ethereum and XRP - influenced the evolutionary paths of most of the succeeding block-chains.

Country
Switzerland
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10004 Department of Business Administration, 330 Economics

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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!
0
Average
Average
Average
Green