Theory and applications of latent network geometry
During the past two decades, a multitude of statistical network models were developed to capture and explain the ubiquitous large-scale structural features observed in many real networks -- heterogeneous distribution of nodes' degrees, sparseness, strong clustering, and small-world effect. Desp...
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| Online Access: | http://hdl.handle.net/2047/D20394160 |