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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 953406, 6 pages
Information Propagation in Online Social Network Based on Human Dynamics
1School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
2Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287, USA
3Department of Applied Mathematics, Shanghai University of Finance and Economics, Shanghai 200433, China
Received 16 January 2013; Revised 10 April 2013; Accepted 18 April 2013
Academic Editor: Bo Shen
Copyright © 2013 Qiang Yan 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.
- Q. Yan, L. Wu, and L. Yi, “Research on the human dynamics in mobile communities based on social identity,” Discrete Dynamics in Nature and Society, vol. 2012, Article ID 672756, 13 pages, 2012.
- Y. P. Xiao, B. Wang, Y. B. Liu et al., “Analyzing, modeling, and simulation for human dynamics in social network,” Abstract and Applied Analysis, vol. 2012, Article ID 208791, 16 pages, 2012.
- Y. P. Xiao, B. Wang, B. Wu, Z. Yan, S. Jia, and Y. Liu, “A hybrid human dynamics model on analyzing hotspots in social networks,” Discrete Dynamics in Nature and Society, vol. 2012, Article ID 678286, 13 pages, 2012.
- Q. Yan and L. Wu, “Impact of bursty human activity patterns on the popularity of online content,” Discrete Dynamics in Nature and Society, vol. 2012, Article ID 872908, 11 pages, 2012.
- A. L. Barabási, “The origin of bursts and heavy tails in human dynamics,” Nature, vol. 435, no. 7039, pp. 207–211, 2005.
- H. H. Jo, M. Karsai, J. Kertesz, and K. Kaski, “Circadian pattern and burstiness in mobile phone communication,” New Journal of Physics, vol. 14, Article ID 013055, 2012.
- A. Vazquez, J. G. Oliveira, Z. Dezso, K. I. Goh, I. Kondor, and A. L. Barabasi, “Modeling bursts and heavy tails in human dynamics,” Physical Review E, vol. 73, Article ID 036127, 2006.
- J. G. Oliveira and A. L. Barabási, “Human dynamics: Darwin and Einstein correspondence patterns,” Nature, vol. 437, no. 7063, p. 1251, 2005.
- Z. D. Zhao, H. Xia, M. S. Shang, and T. Zhou, “Empirical analysis on the human dynamics of a large-scale short message communication system,” Chinese Physics Letters, vol. 28, no. 6, Article ID 068901, 2011.
- W. Hong, X. P. Han, T. Zhou, and B. H. Wang, “Heavy-tailed statistics in short-message communication,” Chinese Physics Letters, vol. 26, Article ID 028902, 2009.
- Y. Wu, C. Zhou, J. Xiao, J. Kurths, and H. J. Schellnhuber, “Evidence for a bimodal distribution in human communication,” Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 44, pp. 18803–18808, 1880.
- Y. Wu, Q. Ye, L. Li, and J. Xiao, “Power-law properties of human view and reply behavior in online society,” Mathematical Problems in Engineering, vol. 2012, Article ID 969087, 7 pages, 2012.
- B. Min, K. I. Goh, and A. Vazquez, “Spreading dynamics following bursty human activity patterns,” Physical Review E, vol. 83, no. 3, Article ID 036102, 2011.
- A. Vazquez, B. Racz, A. Lukacs, and A. L. Barabasi, “Impact of non-Poissonian activity patterns on spreading processes,” Physical Review Letters, vol. 98, Article ID 158702, 2007.
- L. Weng, A. Flammini, A. Vespignani, and F. Menczer, “Competition among memes in a world with limited attention,” Scientific Reports, vol. 2, article 335, 2012.
- Q. Yan, L. L. Yi, and L. R. Wu, “Human dynamic model co-driven by interest and social identity in the MicroBlog community,” Physica A, vol. 391, pp. 1540–1545, 2012.
- H. L. Dong, Z. D. Wang, and H. J. Gao, “Distributed filtering for a class of time-varying systems over sensor networks with quantization errors and successive packet dropouts,” IEEE Transactions on Signal Processing, vol. 60, no. 6, pp. 3164–3173, 2012.
- H. L. Dong, Z. D. Wang, D. W. C. Ho, and H. J. Gao, “Distributed H-infinity state estimation with stochastic parameters and nonlinearities through sensor networks: the finite-horizon case,” Automatica, vol. 48, no. 8, pp. 1575–1585, 2012.
- A. Vazquez, “Polynomial growth in branching processes with diverging reproductive number,” Physical Review Letters, vol. 96, no. 3, Article ID 038702, 2006.
- T. E. Harris, The Theory of Branching Processes, Springer, Berlin, Germany, 2002.
- W. Feller, An Introduction to Probability Theory and Its Applications, Wiley, New York, NY, USA, 1967.