Modeling and empirical research of information redundancy on online social media

Shuo QIN; Xin LU; Fanhui MENG; Yanqing HU

doi:10.11959/j.issn.2096-0271.2018050

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Modeling and empirical research of information redundancy on online social media

TOPIC：PRACTICAL INNOVATIONS OF BIG DATA | 更新时间：2024-06-03

- Modeling and empirical research of information redundancy on online social media
- Big Data Research Vol. 4, Issue 5, Pages: 2018050(2018)
- 作者机构：
  
  1. 国防科技大学系统工程学院，湖南长沙 410073
  2. 中南大学商学院，湖南长沙 410083
  3. 卡罗林斯卡研究所公共卫生科学系，瑞典斯德哥尔摩 17177
  4. 中山大学数据科学与计算机学院，广东广州 510006
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2018050
  CLC： N941.3
- Online First：2018-09，
  
  Published：15 September 2018
- 稿件说明：
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Shuo QIN, Xin LU, Fanhui MENG, et al. Modeling and empirical research of information redundancy on online social media[J]. Big Data Research, 2018, 4(5): 2018050.
DOI：

Shuo QIN, Xin LU, Fanhui MENG, et al. Modeling and empirical research of information redundancy on online social media[J]. Big Data Research, 2018, 4(5): 2018050. DOI： 10.11959/j.issn.2096-0271.2018050.

摘要

为深入了解社交媒体中的信息冗余现象，定义了一种以个体好友信息发布的重复情况度量信息冗余程度的指标。推导个体在传播过程中出现冗余现象的概率，分析了信息传播率、网络密度、集群系数对信息冗余的影响；通过新浪微博的实际数据观察了冗余信息的扩散特点，并从营销的角度探讨了信息冗余在广告推广和产品营销方面的意义。研究结果为进一步了解在线社交媒体的信息扩散特征提供了新的视角。

Abstract

To learn more about redundancy phenomenon

a measurement to quantify this redundancy was proposed and the probability of individual redundancy in the process of information diffusion was deduced.Using simulated networks

how information propagation rate

network density

clustering coefficient affect information redundancy was investigated.The diffusion characteristics of redundant information through the actual data of Sina Weibo was observed and the perspective of information redundancy in advertising promotion and product marketing was discussed from marketing.The findings provide a new perspective for further understanding of the information diffusion characteristics of online social media.

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references

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