Network structure estimation for disease modeling by Joel Sokol

In order to estimate the spread of potential pandemic diseases and the
efficiency of various containment policies, it is helpful to have an accurate
model of the structure of human contact networks.  The literature contains
several explicit and implicit models, but none behave like actual network data
with respect to the spread of disease.  We discuss the difficulty of modeling
real human networks, motivate the study of some open practical questions about
network structure, and suggest some possible avenues of attack based on some
related research.