This paper proposes a deep learning-based computational framework for comparative studies of community social work in China and the United States. Traditional comparative research predominantly relies ...

Abstract: While existing graph clustering methods can only be oriented to classical graph data, this study, as the first attempt, focuses on the proposed symmetric-tensor based graph and its ...

Abstract: Community detection is capable of uncovering the inherent structure and functional organization within complex networks by analyzing multi-scale topological features. According to the brief ...