From the perspective of complex networks， this paper constructs a network model of the search index of artificial intelligence online translation based on the time series data， and then analyzes its structure characteristics based on actual data from China. The results show that： although the search index of online translation shows significant fluctuation characteristics， it is still dominated by small fluctuations in most of the time； the distribution of the shortest path lengths of the online translation network is approximately skewed distribution， and the conversion from one symbol to another in the network requires three intermediate symbols on average； the symbols with less volatility have larger clustering coefficient； online translation shows a downward trend as a whole， and has experienced a process from early immature to gradually mature.