User interests-based microblog tracing algorithm

Xiao YANG; Xiuzhen CHEN; Jin MA; Haozhe LIANG; Shenghong LI

doi:10.11959/j.issn.2096-109x.2020086

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User interests-based microblog tracing algorithm

Papers | 更新时间：2024-06-03

- User interests-based microblog tracing algorithm
- Chinese Journal of Network and Information Security Vol. 6, Issue 6, Pages: 164-173(2020)
- 作者机构：
  
  1. 上海交通大学网络安全技术研究院，上海 200240
  2. 上海市信息安全综合管理技术研究重点实验室，上海 200240
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2020086
  CLC： TP391
- Online First：2020-12，
  
  Published：15 December 2020
- 稿件说明：
移动端阅览
Xiao YANG, Xiuzhen CHEN, Jin MA, et al. User interests-based microblog tracing algorithm[J]. Chinese Journal of Network and Information Security, 2020, 6(6): 164-173.
DOI：

Xiao YANG, Xiuzhen CHEN, Jin MA, et al. User interests-based microblog tracing algorithm[J]. Chinese Journal of Network and Information Security, 2020, 6(6): 164-173. DOI： 10.11959/j.issn.2096-109x.2020086.

摘要

微博信息溯源通过分析在平台采集的话题数据集，挖掘相关话题的真正源头，即发布时间较早且影响力大的微博集合，实现网络舆论的管控与引导。提出一种基于用户兴趣的微博溯源算法，该算法根据博主的兴趣计算博主影响力，同时根据评论人、转发人的兴趣计算评论人、转发人的影响力，结合博主关注度和发表时间等因素，利用网页排序算法对微博评分，根据微博得分进行排序溯源。实验结果表明，该算法相较于传统溯源算法在查全率上提升了约21%。

Abstract

Microblog information tracing refers to finding the source set of microblog topics according to the analysis of crawled microblog texts and it’s of great significance in the aspect of public opinion control and information security.A user interests-based tracing method (ITM) was proposed.The proposed method calculates the influence of the blogger based on the interest of the microblog blogger

and also calculates the influence of the commentators based on the interest of the commentators.The ranking algorithm was used to score the blogs according to publication time

notability and influence

and the source of the blogs was traced according to the blog score rank.Experimental results show that the accuracy of the proposed algorithm improved about 21% compared with the traditional tracing algorithms.

关键词

Keywords

references

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