2022
DOI: 10.1109/tem.2020.2989170
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A Theoretical Model for Block Propagation Analysis in Bitcoin Network

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Cited by 44 publications
(28 citation statements)
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“…This model can be suitable for modeling the blockchain networks with no hubs or relay networks. As well it can be a suitable for modeling large scale public blockchains such as Bitcoin when the relay networks are not taken into account and instead, the average values of the network (e.g., average number of connections per node) are considered (Shahsavari et al, 2020). The ER model does not exhibit a power-law degree distribution or preferential attachment.…”
Section: Erdös-rény Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…This model can be suitable for modeling the blockchain networks with no hubs or relay networks. As well it can be a suitable for modeling large scale public blockchains such as Bitcoin when the relay networks are not taken into account and instead, the average values of the network (e.g., average number of connections per node) are considered (Shahsavari et al, 2020). The ER model does not exhibit a power-law degree distribution or preferential attachment.…”
Section: Erdös-rény Modelmentioning
confidence: 99%
“…The output result contains GCC, LCC, and the average shortest path length (ASPL) in each network as presented in Table 1. In order to compare our results with the experimental data mined from the Bitcoin network, we use the concept of dissemination waves (Shahsavari et al, 2020). Block propagation is modeled using a set of subsequent waves, each of which covers one hop in the Bitcoin P2P network.…”
Section: Model Validationmentioning
confidence: 99%
“…Bitcoin's block propagation has been measured by Decker and Wattenhofer [31] and later by Croman et al [32] who proposed guidelines on block size and interval to ensure adequate throughput for 90% of nodes. Shahsavari et al [33] propose a random graph model for modelling performance of block propagation. Dotan et al's [34] recent survey article covers block propagation (section 3) and mapping of blockchain networks (section 8).…”
Section: Block Propagationmentioning
confidence: 99%
“…e block transmission delay, block verification delay, and node information exchange delay are included in the block propagation delay [38]. e block propagation delay is not only related to the reputation of incoming link and outgoing link but also affected by parameter c. erefore, this experiment synthesizes three factors to analyze the influence of incoming link reputation, outgoing link reputation, and parameter c on block propagation delay.…”
Section: Block Propagation Delaymentioning
confidence: 99%