  Recent years have seen various rumor diffusion models being assumed in
detection of rumor source research of the online social network. Diffusion
model is arguably considered as a very important and challengeable factor for
source detection in networks but it is less studied. This paper provides an
overview of three representative schemes of Independent Cascade-based,
Epidemic-based, and Learning-based to model the patterns of rumor propagation
as well as three major schemes of estimators for rumor sources since its
inception a decade ago.
