We use a purposely-designed survey on Sri Lankan immigrants living in Milan to study their personal network. By taking a dyadic perspective we investigate how migrants form (weak and strong) social links among them in the host country, and the extent to which this network provides them material...

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest standard exponential random graph models (ERGMs) as a special case. We provide the first general results on when these models' (including ERGMs) parameters estimated from the...

We develop a new class of random-graph models for the statistical estimation of network formation---subgraph generated models (SUGMs)---that allow for substantial correlation in links. Various subgraphs (e.g., links, triangles, cliques, stars) are generated and their union results in a network....

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest standard exponential random graph models (ERGMs) as a special case. We provide the first general results on when these models' (including ERGMs) parameters estimated from the...

This paper provides the first direct evidence on the determinants of link formation among immigrants in the host society. We use a purposely-designed survey on a representative sample of Sri Lankan immigrants living in Milan to study how migrants form social links among them and the extent to...

This paper provides the first direct evidence on the determinants of link formation among immigrants in the host society. We use a purposely-designed survey on a representative sample of Sri Lankan immigrants living in Milan to study how migrants form social links among them and the extent to...