  In a study related to this one I set up a temporal network simulation
environment for evaluating network intervention strategies. A network
intervention strategy consists of a sampling design to select nodes in the
network. An intervention is applied to nodes in the sample for the purpose of
changing the wider network in some desired way. The network intervention
strategies can represent natural agents such as viruses that spread in the
network, programs to prevent or reduce the virus spread, and the agency of
individual nodes, such as people, in forming and dissolving the links that
create, maintain or change the network. The present paper examines idealized
versions of the sampling designs used to that study. The purpose is to better
understand the natural and human network designs in real situations and to
provide a simple inference of design-based properties that in turn measure
properties of the time-changing network. The designs use link tracing and
sometimes other probabilistic procedures to add units to the sample and have an
ongoing attrition process by which units are removed from the sample.
