Social network analysis of blockchain data

I am looking for someone with social network analysis experience who can analyse the relationships and interactions between wallets on an NFT blockchain.

Specifically an NFT blockchain project has been heavily affected by bot activity and it is hoped that analysis of the data will show groups of wallets that are working together by sending nfts between them or from nodes to a hub.

If you are still reading here is the relationship. I seek to identify...

Multiple wallets have bot software that grab minted nfts when they are released by a project. Two things happen to the nfts after that.

Option 1) they are sold on the marketplace into an in project currency called gems. The hub account will then "sell" an nft to the node moving the gems to the hub. The node then sends the nft back to the hub free of charge. These would be identified by isolating wallets that send nfts back and forth within a short time frame.

2) the node sends the botted nft directly to the hub. This would be identified by isolation wallets that regularly send nfts to the same wallet.

The data is in db format mysql. There is a) wallet addresses, b) time stamps of transfers and minting events c) number of nfts in wallets at any time

This is a speculative project with an initial small budget to conduct some basic analysis to see if relationships can be isolated. If successful then a larger project would be established to identify/score groups of wallets that have suspected bot activity so action can be taken against them.

Please mention my dog Princess Leia so I know you have read the whole project.

Thanks