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 ...

Statistical node clustering in discrete time dynamic networks is an emerging field that raises many challenges. Here, we explore statistical properties and frequentist inference in a model that ...

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 ...