Motivated by debates about California's net migration loss, we employ va...
Despite the popular narrative that the United States is a "land of mobil...
When subjected to a sudden, unanticipated threat, human groups
character...
Graph processes that unfold in continuous time are of obvious theoretica...
Signal maps are essential for the planning and operation of cellular
net...
The exponential-family random graph models (ERGMs) have emerged as an
im...
The exponential family random graph modeling (ERGM) framework provides a...
The hydroxyl radical is the primary reactive oxygen species produced by ...
Static light scattering is a popular physical chemistry technique that
e...
Bayesian inference for exponential family random graph models (ERGMs) is...
Although it is well-known that some exponential family random graph mode...
Many social and other networks exhibit stable size scaling relationships...
Ensembles of networks arise in many scientific fields, but currently the...
Exponential family Random Graph Models (ERGMs) can be viewed as expressi...
Statistical models for networks with complex dependencies pose particula...
A rich literature has explored the modeling of homophily and other forms...
Data collection designs for social network studies frequently involve as...
Exponential family random graph models (ERGMs) can be understood in term...
Generation of deviates from random graph models with non-trivial edge
de...
Continuous mixtures of distributions are widely employed in the statisti...