With the rapid development of mobile communication technologies, the mobile network has evolved into a highly heterogeneous network structure. Based on dynamic networks, we mainly investigated a method to explore the synchronous changes of high-traffic events. Event coincidence analysis is used to quantify the concurrency of high-traffic events. A variety of network measures are used to analyze the dynamic spatio-temporal characteristics of high-traffic. The static network is constructed to analyze the synchronous influence area and the temporal and spatial characteristics of high-traffic of base station. Taking hour as the time window, the dynamic network is constructed to study the dynamic spatio-temporal variation rule of high-traffic and the interactive relationship of traffic between base stations. It is found that static network is a small-world network. The spatial connectivity of high-traffic events at the base station is high, and the spatial connectivity is not sensitive to temporal changes. The traffic of different base stations has interactive relation at the same time in different days.