Model for Twitter dynamics: Public attention and time series of tweeting

We present a simple mathematical model for the Twitter dynamics, and use the model to extract the information-sharing tendencies on two time scales, day and hour, about three contenders in the 2012 presidential election in South Korea. Comparison of the model results with actual data demonstrates th...

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Bibliographic Details
Published in:Physica A 2014-06, Vol.404, p.142-149
Main Authors: Ko, J., Kwon, H.W., Kim, H.S., Lee, K., Choi, M.Y.
Format: Article
Language:English
Subjects:
Dynamics
Election
Evolution
Information-sharing tendency
Mass media
Mathematical model
Mathematical models
Online
Propensity to tweet or retweet
Statistical mechanics
Time
Time series
Twitter dynamics
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Summary:We present a simple mathematical model for the Twitter dynamics, and use the model to extract the information-sharing tendencies on two time scales, day and hour, about three contenders in the 2012 presidential election in South Korea. Comparison of the model results with actual data demonstrates that the information-sharing tendency on the day scale provides a good measure for the general public attention to the contenders, whereas the tendency on the hour scale reflects the daily cycle of twitter users. In addition, it is attempted to reproduce the time evolution of tweeting by taking the numbers of the articles on the online newspapers as the external driving to tweet, the validity of which is discussed. •We present a model for Twitter dynamics and extract the information-sharing tendency.•A good measure for the general public attention is provided.•The time evolution of tweeting, driven by articles on newspapers, is described well.•Possibility of predicting the time evolution solely from external data is suggested.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2014.02.034