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 inChinese physics letters Vol. 34; no. 6; pp. 131 - 134
Main Author 李瑾颉 吴联仁 齐佳音 孙启明
Format Journal Article
LanguageEnglish
Published 01.06.2017
Subjects
Web
分支过程
动态建模
幂律分布
概率模型
模型分析
网络信息
网络结构
Online AccessGet full text
ISSN0256-307X
1741-3540
DOI10.1088/0256-307X/34/6/068901

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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.
AbstractList 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.
Author 李瑾颉 吴联仁 齐佳音 孙启明
AuthorAffiliation School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876 Interdisciplinary Center for Network Science and Applications, University of Notre Dame, IN 46556, USA School of Management, Shanghai University of International Business and Economics, Shanghai 201620
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10.1103/PhysRevE.90.032801
10.1016/j.physa.2011.08.038
10.1038/srep23484
10.1038/srep00335
10.1016/j.physa.2012.12.008
10.1371/journal.pone.0089192
10.1103/PhysRevX.6.021019
10.1371/journal.pone.0061823
10.1016/j.physrep.2016.07.002
10.1103/PhysRevE.84.046116
10.1088/0256-307X/27/6/065201
10.1126/science.1237825
10.1038/srep04938 %%{\bf 4}
10.1103/PhysRevLett.112.048701
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Notes 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）
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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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SubjectTerms Web
分支过程
动态建模
幂律分布
概率模型
模型分析
网络信息
网络结构
Title Modeling Information Popularity Dynamics via Branching Process on Micro-Blog Network
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