Research on social networks and complex networks is being conducted, focusing on the detection of influential nodes and fake news using various methods, including neighborhood entropy and multi-source data. Studies are also exploring the application of machine learning and graph learning to analyze community structure and identify patterns. The use of multi-source data and different algorithms, such as cross-attention networks and graph convolution networks, is being investigated for various purposes, including fake review detection and urban vitality analysis.