| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
|
|
|
|
Modeling Information Popularity Dynamics via Branching Process on Micro-Blog Network |
| Jin-Jie Li1,2, Lian-Ren Wu3**, Jia-Yin Qi3, Qi-Ming Sun1 |
1School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876
2Interdisciplinary Center for Network Science and Applications, University of Notre Dame, IN 46556, USA
3School of Management, Shanghai University of International Business and Economics, Shanghai 201620
|
|
| Cite this article: |
|
Jin-Jie Li, Lian-Ren Wu, Jia-Yin Qi et al 2017 Chin. Phys. Lett. 34 068901 |
|
|
|
|
Abstract Predicting and modeling of items popularity on web 2.0 have attracted great attention of many scholars. From the perspective of information competition, we propose a probabilistic model using the branching process to characterize the process in which micro-blogging gains its popularity. The model is analytically tractable and can reproduce several characteristics of empirical micro-blogging data on Sina micro-blog, the most popular micro-blogging system in China. We find that the information competition on micro-blog network leads to the decay of information popularity obeying power law distribution with exponent about 1.5, and the value is similar to the exponent of degree distribution of micro-blog network. Furthermore, the mean popularity is decided by the probability of innovating a new message. Our work presents evidence supporting the idea that two distinct factors affect information popularity: information competition and social network structure.
|
|
|
Received: 20 February 2017
Published: 23 May 2017
|
|
| PACS: |
89.75.Da
|
(Systems obeying scaling laws)
|
| |
05.10.-a
|
(Computational methods in statistical physics and nonlinear dynamics)
|
| |
29.85.-c
|
(Computer data analysis)
|
|
|
| Fund: Supported by the National Natural Science Foundation of China under Grant Nos 71601005 and 71231002, and the National Basic Research Program of China under Grant No 2013CB329604. |
|
|
|
| [1] | Wang D, Song C and Barabási A L 2013 Science 342 127 | | [2] | Sasahara K, Hirata Y, Toyoda M, Kitsuregawa M and Aihara K 2013 PLoS ONE 8 e61823 | | [3] | Quattrociocchi W, Caldarelli G and Scala A 2014 Sci. Rep. 4 4938 | | [4] | Kim Y, Park S and Yook S H 2016 Sci. Rep. 6 23484 | | [5] | Song B, Jiang G P, Song Y R and Xia L L 2015 Chin. Phys. B 24 100101 | | [6] | Wang J R, Wang J P, He Zhen and Xu H T 2015 Chin. Phys. B 24 060101 | | [7] | Min L, Liu Z, Tang X Y, Chen M and Liu S Y 2015 Acta Phys. Sin. 64 088901 (in Chinese) | | [8] | Wang J L, Liu F A and Zhu Z F 2015 Acta Phys. Sin. 64 050501 (in Chinese) | | [9] | Li Y J, Yin C, Yu H and Liu Z 2016 Acta Phys. Sin. 65 020501 (in Chinese) | | [10] | Cetin U and Bingol H O 2014 Phys. Rev. E 90 032801 | | [11] | Weng L, Flammini A, Vespignani A and Menczer F 2012 Sci. Rep. 2 335 | | [12] | Gleeson J P, Ward J A, O'sullivan K P and Lee W T 2014 Phys. Rev. Lett. 112 048701 | | [13] | Gleeson J P, O'sullivan K P, Banos R A and Moreno Y 2016 Phys. Rev. X 6 021019 | | [14] | Athreya K B and Ney P E 2012 Branching Processes (New York: Springer) | | [15] | Iribarren J L and Moro E 2011 Phys. Rev. E 84 046116 | | [16] | Xu Y, Guo L P, Ding N and Wang Y G 2010 Chin. Phys. Lett. 27 078901 | | [17] | Zhu J F, Han X P and Wang B H 2010 Chin. Phys. Lett. 27 068902 | | [18] | Zhang P, Li M H, Gao L, Fan Y and Di Z R 2014 PLoS ONE 9 e89192 | | [19] | Zhang Z K, Liu C, Zhan X X, Lu X, Zhang C X and Zhang Y C 2016 Phys. Rep. 651 1 | | [20] | Yan Q, Yi L L and Wu L R 2012 Physica A 391 1540 | | [21] | Yan Q, Wu L R and Zheng L 2013 Physica A 392 1712 | | [22] | Hong W, Han X P and Wang B H 2009 Chin. Phys. Lett. 26 028902 | | [23] | Shang M S, Chen G X, Dai S X, Wang B H and Zhou T 2010 Chin. Phys. Lett. 27 048701 | | [24] | Miotto J M and Altmann E G 2014 PLoS ONE 91 e111506 |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
