City-Mesh3R reconstructs scalable watertight city-scale 3D meshes from multi-view images via topological clustering, distributed SfM, spatial partitioning, and curvature-aware remeshing.
SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-listener Interaction Dynamic Process
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Overlap is one of the characteristics of social networks, in which a person may belong to more than one social group. For this reason, discovering overlapping structures is necessary for realistic social analysis. In this paper, we present a novel, general framework to detect and analyze both individual overlapping nodes and entire communities. In this framework, nodes exchange labels according to dynamic interaction rules. A specific implementation called Speaker-listener Label Propagation Algorithm (SLPA1) demonstrates an excellent performance in identifying both overlapping nodes and overlapping communities with different degrees of diversity.
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images
City-Mesh3R reconstructs scalable watertight city-scale 3D meshes from multi-view images via topological clustering, distributed SfM, spatial partitioning, and curvature-aware remeshing.