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Analyzing the posting behaviors in news forums with incremental inter-event time

Author

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  • Sun, Zhi
  • Peng, Qinke
  • Lv, Jia
  • Zhong, Tao

Abstract

Online human behaviors are widely discussed in various fields. Three key factors, named priority, interest and memory are found crucial in human behaviors. Existing research mainly focuses on the identified and active users. However, the anonymous users and the inactive ones exist widely in news forums, whose behaviors do not receive enough attention. They cannot offer abundant postings like the others. It requires us to study posting behaviors of all the users including anonymous ones, identified ones, active ones and inactive ones in news forums only at the collective level. In this paper, the memory effects of the posting behaviors in news forums are investigated at the collective level. On the basis of the incremental inter-event time, a new model is proposed to describe the posting behaviors at the collective level. The results on twelve actual news events demonstrate the good performance of our model to describe the posting behaviors at the collective level in news forums. In addition, we find the symmetric incremental inter-event time distribution and the similar posting patterns in different durations.

Suggested Citation

  • Sun, Zhi & Peng, Qinke & Lv, Jia & Zhong, Tao, 2017. "Analyzing the posting behaviors in news forums with incremental inter-event time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 203-212.
    • Handle: RePEc:eee:phsmap:v:479:y:2017:i:c:p:203-212
    DOI: 10.1016/j.physa.2017.02.081
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    1. Wang, Chenxu & Guan, Xiaohong & Qin, Tao & Yang, Tao, 2015. "Modeling the heterogeneity of human dynamics based on the measurements of influential users in Sina Microblog," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 239-249.
    2. Pan, Junshan & Hu, Hanping & Liu, Ying, 2014. "Human behavior during Flash Crowd in web surfing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 212-219.
    3. Yan, Deng-Cheng & Wei, Zong-Wen & Han, Xiao-Pu & Wang, Bing-Hong, 2017. "Empirical analysis on the human dynamics of blogging behavior on GitHub," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 775-781.
    4. J. Guo & C. Fan & Z. Guo, 2011. "Weblog patterns and human dynamics with decreasing interest," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 81(3), pages 341-344, June.
    5. Peng Zhang & Menghui Li & Liang Gao & Ying Fan & Zengru Di, 2014. "Characterizing and Modeling the Dynamics of Activity and Popularity," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-9, February.
    6. Peng, Dan & Han, Xiao-Pu & Wei, Zong-Wen & Wang, Bing-Hong, 2015. "Punctuated equilibrium dynamics in human communications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 36-44.
    7. Wang, Peng & Zhou, Tao & Han, Xiao-Pu & Wang, Bing-Hong, 2014. "Modeling correlated human dynamics with temporal preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 145-151.
    8. Wang, Yanjun & Zhang, Qiqian & Zhu, Chenping & Hu, Minghua & Duong, Vu, 2016. "Human activity under high pressure: A case study on fluctuation scaling of air traffic controller’s communication behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 151-157.
    9. Johansen, Anders, 2004. "Probing human response times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 286-291.
    10. Yan, Qiang & Yi, Lanli & Wu, Lianren, 2012. "Human dynamic model co-driven by interest and social identity in the MicroBlog community," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1540-1545.
    11. Chao Gao & Jiming Liu, 2015. "Uncovering Spatiotemporal Characteristics of Human Online Behaviors during Extreme Events," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-14, October.
    12. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    13. Zhao, Zhi-Dan & Zhou, Tao, 2012. "Empirical analysis of online human dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3308-3315.
    14. Mryglod, O. & Fuchs, B. & Szell, M. & Holovatch, Yu. & Thurner, S., 2015. "Interevent time distributions of human multi-level activity in a virtual world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 681-690.
    15. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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