# Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion

### Weiwei Wu, Xiqin Ao, Wanjun Yao

#### 2024

#### Abstract

There has been a tremendous rise in the growth of Chinese Microblog --- Sina Weibo in the past few years. Sina Weibo contains many interesting popular issues. The mining of these vast amounts of data and the corresponding mathematical models is an interesting question. In particular, the trend of some popular topics can be described by the soliton wave model based on some hypothesis and parameter settings. The evolution trend of the sub-events belonging to a super popular topic is stated by employing the partial-rogue lump ripple solution theory of the nonlocal Kadomtsev-Petviashvili equation.

Download#### Paper Citation

#### in Harvard Style

Wu W., Ao X. and Yao W. (2024). **Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion**. In *Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS*; ISBN 978-989-758-715-3, SciTePress, pages 64-68. DOI: 10.5220/0012879500004536

#### in Bibtex Style

@conference{dmeis24,

author={Weiwei Wu and Xiqin Ao and Wanjun Yao},

title={Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion},

booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},

year={2024},

pages={64-68},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0012879500004536},

isbn={978-989-758-715-3},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS

TI - Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion

SN - 978-989-758-715-3

AU - Wu W.

AU - Ao X.

AU - Yao W.

PY - 2024

SP - 64

EP - 68

DO - 10.5220/0012879500004536

PB - SciTePress