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Title: Analysis of networks via the sparse beta-model Authors:  Mingli Chen - University of Warwick (United Kingdom)
Kengo Kato - Cornell University (United States)
Chenlei Leng - Warwick (United Kingdom) [presenting]
Abstract: The Sparse beta-Model (S$\beta$M) is proposed, a new network model that interpolates the celebrated Erdos-Renyi model and the more recent beta-model by distinguishing global and local sparsity. The model has attractive statistical and computational properties for sparse networks with degree heterogeneity. Numerical results are presented to illustrate its usage.