Due to the widespread use of smart contracts, Ethereum has become the second-largest blockchain platform after Bitcoin. Many different types of Ethereum accounts also have quite active trading activities on Ethereum. Studying the transaction records of these specific Ethereum accounts is very important for understanding their particular transaction characteristics, and further labeling the pseudonymous accounts. Our work chooses six kinds of important account labels, and builds ego networks for each kind of Ethereum accounts. We focus on the interaction between the target node and neighbor nodes with temporal analysis.