Before revision: Node attributes are ubiquitous in real-world networks, whose fusion with graph topology raises new challenges for the detection and understanding of community structure. Due to their principled characterization and interpretation , probabilistic generative models (PGMs) have become the mainstream methods for community detection in attributed networks.
After revision: Node attributes are ubiquitous in real-world networks, communities can be reflected by abundant node attributes with the fusion of graph topology. In attribute-aware community detection , probabilistic generative models (PGMs) have become the mainstream methods for community detection in attributed networks.