我们最近的一个小工作总结，发表在DSRT09（http://www.cs.unibo.it/ds-rt2009/）上

 With the development of on-line forum technology
and the pervasive participation of the public, the Human Flesh
Search is becoming an arising phenomenon which makes a
great impact on our daily life. There arose big research
interests in social, legal issues resulted from HFS, however,
very little work has been conducted to understand how it
comes into being and how it dynamically evolves. This paper
proposes a modeling and simulation approach incorporating
network expansion and GOSSIP propagation with feedback
for a better understanding of the human flesh search
phenomenon. Based on the acquisition and analysis of the
netizens’ surfing behavior data, the evolution of the HFS is
modeled as a network growth process with proper dynamic
input, which is characterized by heavy-tail and burst-oriented
distribution, modeling as a Weibulloid process. Then, an
improved GOSSIP model with feedback is proposed to
represent the information propagation, processing and
aggregation during the HFS. New insights for HFS are gained
through a set of simulation experiments.