Bitcoin transaction network analysis helps people understand the trading patterns in bitcoin transactions. Bitcoin trading network is anonymous and large-scale making it difficult for users to gain insight from the entire trading network. A visual exploration approach for bitcoin trading network is proposed based on topological structure recommendation to support the interactive exploration in Bitcoin trading network. The key idea of the proposed approach is to generate a vectorized representation for each node, and consequently a set of similar structures can be easily found upon user intention. The case study demonstrates the effectiveness of the approach in supporting exploration and analysis of trading patterns of Bitcoin transactions.