12 - 4 p.m.
In a recently published paper, James Hollway and his colleagues write that DyNAMs are
network models that allow researchers to control for and explicitly test hypotheses about observational dependence,
actor-oriented and conceive of network ties as the expression of actors’ preferences and available opportunities,
model coordination between the two actors involved in the creation of a tie,
more precise than existing panel-based models as they allow to draw inference from more granular time-stamped data,
permit simultaneous tests of hypotheses about weighted, windowed, and signed processes.
DyNAMs thus offer an alternative to stochastic actor oriented models (Siena) and exponential random graph models (ERGM).
The workshop will be taught in English.