  Non Fungible Tokens (NFTs) have gained a solid foothold within the crypto
community, and substantial amounts of money have been allocated to their
trades. In this paper, we studied one of the most prominent marketplaces
dedicated to NFT auctions and trades, Foundation. We analyzed the activities on
Foundation and identified several intriguing underlying dynamics that occur on
this platform. Moreover, We performed social network analysis on a graph that
we had created based on transferred NFTs on Foundation, and then described the
characteristics of this graph. Lastly, We built a neural network-based
similarity model for retrieving and clustering similar NFTs. We also showed
that for most NFTs, their performances in auctions were comparable with the
auction performance of other NFTs in their cluster.
