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Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability. (arXiv:2311.01406v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Blockchain technology has revolutionized the way information is propagated in
decentralized networks. Ethereum plays a pivotal role in facilitating smart
contracts and decentralized applications. Understanding information propagation
dynamics in Ethereum is crucial for ensuring network efficiency, security, and
scalability. In this study, we propose an innovative approach that utilizes
Graph Convolutional Networks (GCNs) to analyze the information propagation
patterns in the Ethereum network. The first phase of our research involves data
collection from the Ethereum blockchain, consisting of blocks, transactions, …
analysis applications arxiv attention blockchain decentralized dynamics efficiency ethereum graph information network networks pivotal propagation reinforcement reinforcement learning role scalability security smart smart contracts technology understanding