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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 678286, 13 pages
http://dx.doi.org/10.1155/2012/678286
Research Article

A Hybrid Human Dynamics Model on Analyzing Hotspots in Social Networks

1Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
2Chongqing Engineering Laboratory of Internet and Information Security, Chongqing University of Posts and Telecommunications (CQUPT), Room 4029, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China
3School of Computer and Communication Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

Received 5 July 2012; Accepted 12 September 2012

Academic Editor: Garyfalos Papaschinopoulos

Copyright © 2012 Yunpeng Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. A. Haight, Handbook of the Poisson distribution, John Wiley & Sons, New York, 1967.
  2. A. L. Barabási, “The origin of bursts and heavy tails in human dynamics,” Nature, vol. 435, no. 7039, pp. 207–211, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. Z. Dezso, E. Almaas, A. Lukacs, B. Racz, I. Szakadat, and A.-L. Barábasi, “Dynamics of information access on the web,” Phys Rev E, vol. E73, Article ID 066132, 2006.
  4. W. Hong, X. P. Han, T. Zhou, and B. H. Wang, “Heavy-tailed statistics in short-Message communication,” Chinese Physics Letters, vol. 26, no. 2, Article ID 028902, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. Q. Yan, L. Yi, and L. Wu, “Human dynamic model co-driven by interest and social identity in the microblog community,” Physica A, vol. 391, pp. 1540–1545, 2012.
  6. J. Yu, Y. Hu, M. Yu, and Z. Di, “Analyzing netizens' view and reply behaviors on the forum,” Physica A, vol. 389, no. 16, pp. 3267–3273, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. T. Zhou, H. Kiet, B. Kim, et al., “Role of activity in human dynamics,” Europhysics Letters, vol. 82, no. 2, pp. 28002–28006, 2008. View at Publisher · View at Google Scholar
  8. A. Vázquez, J. G. Oliveira, Z. Dezsö, K. I. Goh, I. Kondor, and A. L. Barabási, “Modeling bursts and heavy tails in human dynamics,” Physical Review E, vol. 73, no. 3, Article ID 036127, pp. 1–19, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Vázquez, “Exact results for the Barabási model of human dynamics,” Physical Review Letters, vol. 95, no. 24, Article ID 248701, pp. 1–4, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. P. Blanchard and M. O. Hongler, “Modeling human activity in the spirit of Barábasi's queueing systems,” Physical Review E, vol. 75, no. 2, Article ID 026102, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Dall'Asta, M. Marsili, and P. Pin, “Optimization in task-completion networks,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2008, no. 2, Article ID P02003, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. Z. Deng, N. Zhang, and J. Li, “Inuence of deadline on human dynamic model,” in Dynamic Model of Human Behavior, J. L. Guo, T. Zhou, N. Zhang, and J. M. Li, Eds., p. 2934, Shanghai System Science Publishing House, Hong Kong, 2008.
  13. X. P. Han, T. Zhou, and B. H. Wang, “Modeling human dynamics with adaptive interest,” New Journal of Physics, vol. 10, Article ID 073010, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Shang, G. Chen, S. Dai, et al., “Interest-driven model for human dynamics,” Chinese Physics Letters, vol. 27, no. 4, Article ID 048701, 2010. View at Publisher · View at Google Scholar
  15. T. Zhou, Z. Zhao, Z. Yang, et al., “Relative clock verifies endogenous bursts of human dynamics,” Europhysics Letters, vol. 97, p. 18006, 2012.
  16. N. Johnson, M. Spagat, J. Restrepo, et al., “From old wars to new wars and global terrorism,” arXiv:physics/0506213, 2005.
  17. N. Johnson, M. Spagat, J. A. Restrepo, et al., “Universal patterns underlying ongoing wars and terrorism,” arXiv physics: 0605035v1, 2006.
  18. N. Johnson, Complexity in Humuan Conflict, Springer, New York, NY, USA, 2008.
  19. S. Galam and S. Moscovici, “Towards a theory of collective phenomena: consensus and attitude changes in groups,” European Journal of Social Psychology, vol. 21, no. 1, pp. 49–74, 1991. View at Publisher · View at Google Scholar
  20. S. Galam, “Rational group decision making: a random field Ising model at t=0,” Physica A, vol. 238, no. 1–4, pp. 66–80, 1997. View at Scopus
  21. S. Galam, “Sociophysics: a review of galam models,” International Journal of Modern Physics C, vol. 19, no. 3, pp. 409–440, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Clauset, L. Heger, and M. Young, “Substitution and competition in the israelpalestine conflict,” Chinese Physics Letters, vol. 27, p. 068902, 2010.
  23. A. Vazquez, “Impact of memory on human dynamics,” Physica A, vol. 373, pp. 747–752, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. J. F. Zhu, X. P. Han, and B. H. Wang, “Statistical property and model for the inter-event time of terrorism attacks,” Chinese Physics Letters, vol. 27, no. 6, Article ID 068902, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. J. G. Oliveira and A. Vazquez, “Impact of interactions on human dynamics,” Physica A, vol. 388, no. 2-3, pp. 187–192, 2009. View at Publisher · View at Google Scholar · View at Scopus
  26. Y. Wu, C. Zhou, M. Chen, J. Xiao, and J. Kurths, “Human comment dynamics in on-line social systems,” Physica A, vol. 389, no. 24, pp. 5832–5837, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. D. J. Watts and S. H. Strogatz, “Collective dynamics of 'small-world9 networks,” Nature, vol. 393, no. 6684, pp. 440–442, 1998. View at Scopus
  28. A. Barábasi and R. Albert, “Emergence of scaling in random networks,” Science, vol. 286, no. 5439, pp. 509–512, 1999. View at Publisher · View at Google Scholar
  29. W. Zachary, “An information ow model for conict and fission in small groups,” Journal of Anthropological Research, vol. R 33, no. 4, pp. 452–473, 1977.
  30. G. A. Miller, “The magical number seven, plus or minus two: some limits on our capacity for processing information,” Psychological Review, vol. 63, p. 8197, 1956.
  31. A. Baddeleyi, “Developments in the concept of working memory,” Psychological Bulletin, vol. 101, p. 353, 1994.