This paper focuses on the amount of searching and browsing of hot events in China and finds that the searching index sequences of daily hot events and weekly hot events are in line with Zipf\u27s law. Through continuous collection of large data samples of multiple dates , We find that the Zipf index of the searching index series for daily hot events fluctuates in a very small range.Through Zipf analysis, we find that only a few events maintain long-term heat. A few events will be the focus of most people, while a few will focus on some directional events. So Zipf distribution describes the balance of economic propensity of sender and receiver during the transmission of information. This research is of some reference to commercial activities that make use of hot events for e-commerce
