Interaction based on method for spam detection in online social networks

Kan CHEN; Liang CHEN; Pei-dong ZHU; Yue-shan XIONG

doi:10.11959/j.issn.1000-436x.2015156

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Interaction based on method for spam detection in online social networks

Academic paper | 更新时间：2024-06-05

- Interaction based on method for spam detection in online social networks
- Journal on Communications Vol. 36, Issue 7, Pages: 120-128(2015)
- 作者机构：
  
  国防科学技术大学计算机学院，湖南长沙 410073
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61170285);The National Natural Science Foundation of China(61379103)
- DOI：10.11959/j.issn.1000-436x.2015156
  CLC： TP393
- Online First：2015-07，
  
  Published：25 July 2015
- 稿件说明：
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Kan CHEN, Liang CHEN, Pei-dong ZHU, et al. Interaction based on method for spam detection in online social networks[J]. Journal on Communications, 2015, 36(7): 120-128.
DOI：

Kan CHEN, Liang CHEN, Pei-dong ZHU, et al. Interaction based on method for spam detection in online social networks[J]. Journal on Communications, 2015, 36(7): 120-128. DOI： 10.11959/j.issn.1000-436x.2015156.

摘要

网络水军对广告、谣言、木马和恶意链接进行传播，不仅干扰用户对在线社会网络的正常访问，还可能引发网络安全、社会稳定等方面的问题。针对网络水军信息传播的特点，提出基于交互行为的信息传播模型。模型根据不同传播主体间的交互定义特征来量化传播行为，使用决策树方法对水军传播的信息进行检测。通过新浪微博的真实数据分析传播模型并验证检测方法，结果表明检测方法能够对微博中水军信息进行有效检测。

Abstract

In online social networks

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references

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