A Study of Human Flesh Search Based on SIR Flooding on Scale-Free Networks

  • Dawei Meng
  • Lei Zhang
  • Long Cheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)


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 probabilistic 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 


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  1. 1.
  2. 2.
    Yaling, L.: From Violent “Human Flesh Search Engine” to Friendly “Human computer Search Engine”. Press Circles (2008) Google Scholar
  3. 3.
    Songtao, B.: A Study on The Internet Search for Human Flesh Search Engine And The Invasion of Privacy. Journal of Shenyang Normal University (Social Science Edition) (2008)Google Scholar
  4. 4.
    Feiyue, W., Daniel, Z., James, A.H., Qingpeng, Z., Zhuo, F., Yanqing, G., Hui, W., Guanpi, L.: A study of the human flesh search engine: crowd-powered expansion of online knowledge. IEEE Computer Society (2010)Google Scholar
  5. 5.
    Bing, W., Bonan, H., Yiping, Y., Laibin, Y.: Human Flesh Search Model: Incorporating Network Expansion and GOSSIP with Feedback. In: 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (2009)Google Scholar
  6. 6.
    Zhang, L., Liu, Y., Li, J.: A mathematical model for human flesh search engine. In: Wang, H., Zou, L., Huang, G., He, J., Pang, C., Zhang, H.L., Zhao, D., Yi, Z. (eds.) APWeb 2012 Workshops. LNCS, vol. 7234, pp. 187–198. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  7. 7.
    Long, C., Lei, Z., Jinchuan, W.: A Study of Flesh Search with Epidemic Models. In: Proceedings of the 3rd Annual ACM Web Science Conference, WebSci 2012, pp. 67–73 (2012)Google Scholar
  8. 8.
    People’s Daily Online, Red Cross Received Fewer Individual Donations This Year,
  9. 9.
    Hannah, F.: Human flesh search engines: Chinese vigilantes that hunt victims on the web, The Times (June 25, 2008),
  10. 10.
    Xu, B., Shaoting, J.: Human Flesh Search Engine”: an Internet Lynching, Xinhua English (July 4, 2008),
  11. 11.
    CNN, From Flash Mob to Lynch Mob (July 5, 2007) Google Scholar
  12. 12.
    Zhuochao, Y.: The legitimate limit of human flesh search engine. Public Administration & Law (2009)Google Scholar
  13. 13.
    Mengyao, Y.: An exploration of Human Flesh Search Engine in network community. Southwest Communication (2008)Google Scholar
  14. 14.
    Xia, X.: Sociological Reflection about “human-powered search” Phenomenon. China Youth Study (2009)Google Scholar
  15. 15.
    Bing, W., Yiping, Y., Bonan, H., Dongsheng, L., Dan, C.: Knowledge Aggregation in Human Flesh Search. IEEE Computer Society (2010)Google Scholar
  16. 16.
    Qing-peng, Z., Feiyue, W., Daniel, Z., Tao, W.: Understanding Crowd-Powered Search Groups: A Social Network Perspective. Public library of science one (June 27, 2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Dawei Meng
    • 1
  • Lei Zhang
    • 1
  • Long Cheng
    • 1
  1. 1.Graduate School at ShenzhenTsinghua UniversityShenzhenP.R. China

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