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We have summarized the number of the change wallets filtered by different rules in the 3 wallets, as shown in the left table. The reason why there are more wallets filtered by rule 2 is probably due to the generation mechanism of change wallets. Because the change address is generated by the original wallet during the transaction, a new change address will be automatically created. Unless the original input wallet itself is used as a change wallet or the input money is exactly equal to the output money, a new change wallet will usually be generated during the transaction. As for the stricter conditions to be met by rule1, it is not easy to meet the filter conditions from a large number of input and output wallet transactions, so the number of wallets filtered by rule 1 is less by rule 2.
We demonstrate the difference between the three wallets in social network analysis statistics, as shown in the right table. From the point of view of the size indicator, the percentage of change wallets removed by wallet 1 and wallet 3 is more, while wallet 2 removed less change wallets. From the edge index, because the wallets filtered by rule1 belong to the cluster structure, the number of edges reduced is more than that of wallet 2 and 3. For density, the value is proportional to the reducing number of change wallets. For diameter, removing more change wallets by rule 1, most are cluster structure, might greatly reduce the value of the diameter. As for the centrality indicators of SNA, because the wallets removed by rule1 are the nodes with higher degree centrality, only the degree centrality value of wallet 1 decreases. Betweenness centrality and closeness centrality are highly related to the number of removed change wallets. Eigenvector centrality is related to neither the number nor types of the change wallets. |
IEEE/ICACT20210137 Slide.17
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