- 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 872908, 11 pages
Impact of Bursty Human Activity Patterns on the Popularity of Online Content
1School of Economics and Management, Beijing University of Posts and Telecommunication, Beijing 100876, China
2School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
Received 11 June 2012; Accepted 13 August 2012
Academic Editor: Bo Yang
Copyright © 2012 Qiang Yan and Lianren Wu. 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.
- D. Tapscott and A. D. Williams, Wikinomics: How Mass Collaboration Changes Everything, Portfolio Hardcover, New York, NY, USA, 2006.
- 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, 4 pages, 2011.
- M. S. Shang, G. X. Chen, S. X. Dai, B. H. Wang, and T. Zhou, “Interest-driven model for human dynamics,” Chinese Physics Letters, vol. 27, no. 4, Article ID 048701, 4 pages, 2010.
- X. P. Han, T. Zhou, and B. H. Wang, “Modeling human dynamics with adaptive interest,” New Journal of Physics, vol. 10, Article ID 073010, 8 pages, 2008.
- 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.
- 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, no. 4, pp. 1540–1545, 2012.
- 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.
- A. Vazquez, “Impact of memory on human dynamics,” Physica A, vol. 373, pp. 747–752, 2007.
- T. Zhou, Z.-D. Zhao, Z. Yang, and C. Zhou, “Relative clock verifies endogenous bursts of human dynamics,” Europhysics Letters, vol. 97, no. 1, article 18006, 2012.
- 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.
- Z.-D. Zhao and T. Zhou, “Empirical analysis of online human dynamics,” Physica A, vol. 391, no. 11, pp. 3308–3315, 2012.
- B. Gonçalves and J. J. Ramasco, “Human dynamics revealed through Web analytics,” Physical Review E, vol. 78, no. 2, Article ID 026123, 2008.
- F. Radicchi, “Human activity in the web,” Physical Review E, vol. 80, no. 2, Article ID 026118, 2009.
- A. L. Barabási, “The origin of bursts and heavy tails in human dynamics,” Nature, vol. 435, no. 7039, pp. 207–211, 2005.
- J. G. Oliveira and A. L. Barabási, “Darwin and Einstein correspondence patterns,” Nature, vol. 437, no. 7063, p. 1251, 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.
- J. Candia, M. C. González, P. Wang, T. Schoenharl, G. Madey, and A.-L. Barabási, “Uncovering individual and collective human dynamics from mobile phone records,” Journal of Physics A, vol. 41, no. 22, Article ID 224015, 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.
- 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, 2010.
- J. Ratkiewicz, S. Fortunato, A. Flammini, F. Menczer, and A. Vespignani, “Characterizing and modeling the dynamics of online popularity,” Physical Review Letters, vol. 105, no. 15, Article ID 158701, 2010.
- A. Clauset, C. R. Shalizi, and M. E. J. Newman, “Power-law distributions in empirical data,” SIAM Review, vol. 51, no. 4, pp. 661–703, 2009.
- M. L. Goldstein, S. A. Morris, and G. G. Yen, “Problems with fitting to the power-law distribution,” European Physical Journal B, vol. 41, no. 2, pp. 255–258, 2004.
- Z. Dezsö, E. Almaas, A. Lukács, B. Rácz, I. Szakadát, and A.-L. Barabási, “Dynamics of information access on the web,” Physical Review E, vol. 73, no. 6, Article ID 066132, 2006.
- N. L. Johnson, S. Kotz, and A. W. Kemp, Univariate Discrete Distributions, John Wiley & Sons, New York, NY, USA, 2nd edition, 1992.
- H. Bauke, “Parameter estimation for power-law distributions by maximum likelihood methods,” European Physical Journal B, vol. 58, no. 2, pp. 167–173, 2007.
- W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press, Cambridge, UK, 2nd edition, 1992.
- W. J. Conover, Practical Nonparametric Statistics, John Wiley & Sons, New York, NY, USA, 1999.
- G. Szabo and B. A. Huberman, “Predicting the popularity of online content,” Communications of the ACM, vol. 53, no. 8, pp. 80–88, 2010.
- R. Crane and D. Sornette, “Robust dynamic classes revealed by measuring the response function of a social system,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 41, pp. 15649–15653, 2008.
- M. J. Salganik, P. S. Dodds, and D. J. Watts, “Experimental study of inequality and unpredictability in an artificial cultural market,” Science, vol. 311, no. 5762, pp. 854–856, 2006.