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Estimating the Size of a Large Network and its Communities from a Random Sample
In this paper we consider a population random graph G = (V;E) from the stochastic block model (SBM) with K communities/blocks.
Submodular Variational Inference for Network Reconstruction
In real-world and online social networks, individuals receive and transmit information in real time.
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling
Learning about the social structure of hidden and hard-to-reach populations --- such as drug users and sex workers --- is a major goal of epidemiological and public health research on risk behaviors and disease prevention.
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