Generating Random Networks Without Short Cycles
OPERATIONS RESEARCH, pp. 1227-1246, 2018.
Random graph generation is an important tool for studying large complex networks. Despite abundance of random graph models, constructing models with application-driven constraints is poorly understood. To advance state-of-the-art in this area, we focus on random graphs without short cycles as a stylized family of graphs, and we propose th...More
Full Text (Upload PDF)
PPT (Upload PPT)