Abstract
This paper focused on building a mathematical model of news spreading on Micro-blogging. To do so, we have shown that well-known deterministic compartmental epidemic models can be extended to explain dynamics of trend spreading for various types of trends including real-time news as well as social events. As epidemiology has been extensively studied, it is quite useful to be able to express a process as an epidemic model, which opens up an array of analytically rich tools that are known to work in real life situations. We also pointed out this advantage by showing that one such tool can be readily extended for detecting change in trend dynamics on Micro-blogging.
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Zhou, Y. (2013). News Spreading Model Based on Micro-Blogging Platform in Network Era. In: Du, W. (eds) Informatics and Management Science VI. Lecture Notes in Electrical Engineering, vol 209. Springer, London. https://doi.org/10.1007/978-1-4471-4805-0_21
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DOI: https://doi.org/10.1007/978-1-4471-4805-0_21
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4804-3
Online ISBN: 978-1-4471-4805-0
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