Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
This survey provides a structured overview of rumor propagation models and source estimators for researchers in online social network analysis, addressing a less-studied but critical factor in source detection.
This paper surveys a decade of research on rumor source detection in online social networks, focusing on three propagation model schemes (Independent Cascade-based, Epidemic-based, and Learning-based) and three major rumor source estimator schemes.
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.