paper
When Crypto Economics Meet Graph Analytics and Learning
Bingqiao Luo
When Crypto Economics Meet Graph Analytics and Learning
Bingqiao Luo
paper2024-03-11English
behavioral economicsarxiv
Description
Utilizing graph analytics and learning has proven to be an effective method for exploring aspects of crypto economics such as network effects, decentralization, tokenomics, and fraud detection. However, the majority of existing research predominantly focuses on leading cryptocurrencies, namely Bitcoin (BTC) and Ethereum (ETH), overlooking the vast diversity among the more than 10,000 cryptocurrency projects. This oversight may result in skewed insights. In our paper, we aim to broaden the scope ...
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