- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Recently Accepted Articles ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 678286, 13 pages
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.
- F. A. Haight, Handbook of the Poisson distribution, John Wiley & Sons, New York, 1967.
- A. L. Barabási, “The origin of bursts and heavy tails in human dynamics,” Nature, vol. 435, no. 7039, pp. 207–211, 2005.
- 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.
- 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.
- 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.
- 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.
- T. Zhou, H. Kiet, B. Kim, et al., “Role of activity in human dynamics,” Europhysics Letters, vol. 82, no. 2, pp. 28002–28006, 2008.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- T. Zhou, Z. Zhao, Z. Yang, et al., “Relative clock verifies endogenous bursts of human dynamics,” Europhysics Letters, vol. 97, p. 18006, 2012.
- N. Johnson, M. Spagat, J. Restrepo, et al., “From old wars to new wars and global terrorism,” arXiv:physics/0506213, 2005.
- N. Johnson, M. Spagat, J. A. Restrepo, et al., “Universal patterns underlying ongoing wars and terrorism,” arXiv physics: 0605035v1, 2006.
- N. Johnson, Complexity in Humuan Conflict, Springer, New York, NY, USA, 2008.
- 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.
- S. Galam, “Rational group decision making: a random field Ising model at ,” Physica A, vol. 238, no. 1–4, pp. 66–80, 1997.
- S. Galam, “Sociophysics: a review of galam models,” International Journal of Modern Physics C, vol. 19, no. 3, pp. 409–440, 2008.
- A. Clauset, L. Heger, and M. Young, “Substitution and competition in the israelpalestine conflict,” Chinese Physics Letters, vol. 27, p. 068902, 2010.
- A. Vazquez, “Impact of memory on human dynamics,” Physica A, vol. 373, pp. 747–752, 2007.
- 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.
- J. G. Oliveira and A. Vazquez, “Impact of interactions on human dynamics,” Physica A, vol. 388, no. 2-3, pp. 187–192, 2009.
- 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.
- D. J. Watts and S. H. Strogatz, “Collective dynamics of 'small-world9 networks,” Nature, vol. 393, no. 6684, pp. 440–442, 1998.
- A. Barábasi and R. Albert, “Emergence of scaling in random networks,” Science, vol. 286, no. 5439, pp. 509–512, 1999.
- 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.
- 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.
- A. Baddeleyi, “Developments in the concept of working memory,” Psychological Bulletin, vol. 101, p. 353, 1994.