1 results about "Community mining" patented technology

The application provides a shared bicycle travel network community mining method based on deep learning. The method comprises the following steps: analyzing and counting the road network data information, the shared bicycle data information and the travel data of users in a specified area, and constructing a traffic travel network; quantitatively describing the travel characteristics of users in the shared bicycle travel network, taking the user travel quantitative indicators as network measurement indicators of a graph neural network model, and constructing the graph neural network model; performing community clustering analysis based on the graph neural network model by using a ClusterNet algorithm, and mining community structures. According to the method, a dynamic travel network is constructed according to different time periods, and the spatiotemporal distribution of travel demands in different stages is analyzed. By using a spatial statistics and a complex network method, indicators are constructed to quantitatively describe the travel characteristics, so that the changes of the travel modes of users in different periods can be clearly understood, and the community structures in the travel network can be dynamically mined.