Stochastic block models (SBMs) serve as a fundamental probabilistic framework for generating and analysing network data with inherent community or modular structure. In these models, nodes are ...
Using unique investment-level data accounting for around 15,000 individual investments done by various types of investors in start-up companies over the periods from 2000 to 2014, we empirically ...
Community detection, which aims to cluster N nodes in a given graph into r distinct groups based on the observed undirected edges, is an important problem in network data analysis. In this paper, the ...
The paper provides statistical theory and intuition for personalized PageRank (called ‘PPR’):a popular technique that samples a small community from a massive network. We study a setting where the ...
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