Ignore 0x350 in the graph above. All 14 addresses belong to the same connected subgraph component, in which the edges are Polygon transactions between addresses. Additionally, they all form a strongly connected component, which means it's very highly likely they all are controlled by the same Sybil attacker if every address is reachable from every other address (though cycles formed by both to and from transactions).
Date
# Addresses
2021-10-23
9
2021-11-22
5
2021-10-24
4
2021-11-21
4
2021-11-18
3
2022-03-06
3
2021-11-17
2
2021-10-22
2
2022-03-08
2
As an example from the table above, on 2021-10-23 the following nine addresses sent multiple transactions to and from Polygon and Gnosis Chain, with values of ~200 USDC and/or ~600 USDC.
I implemented the Union-Find algorithm, which is a famous graph algorithm that gets all of the connected subgraph components in O(1) time. The nodes in the graph are from the most up-to-date list of eligible airdrop addresses. The edges in the graph are from using Covalent's API to find transactions that connect between these addresses.
Finding the timestamps of Hop transactions per address is done using the Hop Explorer and reverse engineering their API so I can automate it. :)
rchen8
commented
2 years ago
Related Addresses
Reasoning
Ignore
0x350in the graph above. All 14 addresses belong to the same connected subgraph component, in which the edges are Polygon transactions between addresses. Additionally, they all form a strongly connected component, which means it's very highly likely they all are controlled by the same Sybil attacker if every address is reachable from every other address (though cycles formed by bothtoandfromtransactions).As an example from the table above, on 2021-10-23 the following nine addresses sent multiple transactions to and from Polygon and Gnosis Chain, with values of ~200 USDC and/or ~600 USDC.
Methodology
I implemented the Union-Find algorithm, which is a famous graph algorithm that gets all of the connected subgraph components in
O(1)time. The nodes in the graph are from the most up-to-date list of eligible airdrop addresses. The edges in the graph are from using Covalent's API to find transactions that connect between these addresses.Finding the timestamps of Hop transactions per address is done using the Hop Explorer and reverse engineering their API so I can automate it. :)
Rewards Address
0x9bb82fbf10cF4959909BAB9bE07805bd1d28D04A