On the Frequency Distribution of Retweets | Zendy

Yao Lu | Zendy; Peng Zhang | Zendy; Yanan Cao | Zendy; Yue Hu | Zendy; Li Guo | Zendy

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On the Frequency Distribution of Retweets

Author(s) -

Yao Lu,

Peng Zhang,

Yanan Cao,

Yue Hu,

Li Guo

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.323

Subject(s) - computer science , social media , viral marketing , distribution (mathematics) , data science , power (physics) , data mining , econometrics , world wide web , mathematics , mathematical analysis , physics , quantum mechanics

ocial media platforms allow rapid information diffusion, and serve as a source of information to many of the users. Particularly, in Twitter information provided by tweets diffuses over the users through retweets. So it is of great significance to study the char- acteristics of retweets for marketing and outbreak detection. In this paper, we present a hypothesis that the frequency distribution of retweets follows a power law distribution asymptotically by analyzing the retweets data. Then, we propose a method to model the mechanism of retweet under considering preferential attachment and transmissibility of tweets. We quantify the parameter and get a power law distribution, the simulation results and the results of data analysis are proved to be consistent, so the model can explain the behavior of retweets

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