Impact of Bursty Human Activity Patterns on the Popularity of Online Content | Zendy

Qiang Yan | Zendy; Lianren Wu | Zendy

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Impact of Bursty Human Activity Patterns on the Popularity of Online Content

Author(s) -

Qiang Yan,

Lianren Wu

Publication year - 2012

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2012/872908

Subject(s) - popularity , microblogging , computer science , social media , human dynamics , exponential distribution , power law , statistics , artificial intelligence , world wide web , mathematics , law , political science

The dynamics of online content popularity has attracted more and more researches in recent years. In this paper, we provide a quantitative, temporal analysis about the dynamics of online content popularity in a massive system: Sina Microblog. We use time-stamped data to investigate the impact of bursty human comment patterns on the popularity of online microblog news. Statistical results indicate that the number of news and comments exhibits an exponential growth. The strength of forwarding and comment is characterized by bursts, displaying fat-tailed distribution. In order to characterize the dynamics of popularity, we explore the distribution of the time interval Δt between consecutive comment bursts and find that it also follows a power-law. Bursty patterns of human comment are responsible for the power-law decay of popularity. These results are well supported by both the theoretical analysis and empirical data

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