Topology analysis of the Ripple transaction network

Anan Jin, Yuhang Ye, Brian Lee and Yuansong Qiao

International Journal of Network Management, 2024, vol. 34, issue 2

Abstract: The Ripple network is one typical blockchain‐based decentralized credit network, which supports money transfer without physical money movement by only transferring the credits between participants. It is critical to obtain a deep understanding on the characteristics of the payment networks while optimizing the network design and transaction routing. This paper presents a comprehensive analysis to the Ripple transaction network, including two subnets formed by the two key functionalities, that is, Ripple Direct Payment Network (RDPN) and Ripple Credit Payment Network (RCPN). The analysis is performed with different network metrics, including clustering coefficient, centrality, and so on. Furthermore, this paper provides an in‐depth analysis on the node degrees and edge weights, which reflect the number of transacted accounts of an account and the number of transactions between two accounts. The results show that the network is highly imbalanced and concentrated with a few nodes and edges holding most of the resources. Moreover, RDPN and RCPN show different characteristics in terms of transmitted and received transactions, the senders are more concentrated in RDPN, whereas in RCPN, the receivers are more concentrated.

Date: 2024
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https://doi.org/10.1002/nem.2253

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Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:34:y:2024:i:2:n:e2253

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