  The properties of tokens within the Ethereum blockchain, such as their
current prices, trade volumes, and potential future values, have been the
subjects of numerous studies. Employing social networks and graphs, as powerful
tools for modeling connections within groups or communities would provide
valuable guidance for analyzing these properties. This study mainly focuses on
creating and examining networks related to two major decentralized exchanges
including Uniswap Version 2 (UniswapV2) and SushiSwap. We have discovered that
the distribution of nodes' degrees follows a power law that makes them
scale-free networks, in addition, the centrality of tokens in exchange graphs
provides valuable insights into their price and significance in cryptocurrency
markets. These measures of centrality can be used to detect anomalies in
cryptocurrency markets and prices. Notably, these networks exhibit remarkably
similar structures, hinting at exciting research opportunities for modeling
such networks.
