A Study of Human Flesh Search Based on SIR Flooding on Scale-Free Networks
With the development of social networks, information is shared,amended, and integrated among users.Meanwhile, some questions begin to generate public interests.How does the information propagate in the network? How do human factors affect the spreading patterns of information? How do we construct models to understand the collective group behavior based on probabil istic individual choices? We try to answer the above questions by investigating Human Flesh Search (HFS), a phenomenon of digging out full privacy information of a target person with the help of massive collaboration of netizens by integrating information pieces during propagation.SIR model, which is often used to study epidemic diseases, is employed to provide a mathematical explanation of the process of HFS.Experimental results reveal that information entropy has significant influence on the network topology, which in turn affects the probability of affecting network neighbors and finally results in different efficiency of information spreading.
Human Flesh Search information spreading SIR model Scale Free Networks
Dawei Meng Lei Zhang Long Cheng
Graduate School at Shenzhen, Tsinghua University, Shenzhen, P.R.China
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
369-376
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）