Modeling Information Popularity Dynamics via Branching Process on Micro-Blog Network
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...
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| Published in | Chinese physics letters Vol. 34; no. 6; pp. 131 - 134 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.06.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0256-307X 1741-3540 |
| DOI | 10.1088/0256-307X/34/6/068901 |
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| Summary: | 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. |
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| Bibliography: | 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 2 Interdisciplinary 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） 11-1959/O4 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. |
| ISSN: | 0256-307X 1741-3540 |
| DOI: | 10.1088/0256-307X/34/6/068901 |