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现代图书情报技术  2012, Vol. 28 Issue (5): 70-75     https://doi.org/10.11925/infotech.1003-3513.2012.05.11
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
一种降低微博僵尸粉影响的方法
原福永1, 冯静1, 符茜茜1,2, 曹旭峰3
1. 燕山大学信息科学与工程学院 秦皇岛 066004;
2. 秦皇岛职业技术学院经济系 秦皇岛 066100;
3. 潞安集团高河能源有限公司 长治 046000
A Method to Reduce the Impact of Zombie Fans in Micro-blog
Yuan Fuyong1, Feng Jing1, Fu Qianqian1,2, Cao Xufeng3
1. College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China;
2. Economics Department, Qinhuangdao Institute of Technology, Qinhuangdao 066100, China;
3. Gaohe Energy Co., LTD, Luan Group, Changzhi 046000, China
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摘要 以新浪微博平台为研究对象,针对微博平台存在的虚假粉丝——僵尸粉问题进行分析,从僵尸粉的定义、发展和目前采取的措施进行研究。根据微博用户存在的形式和用户间关系的特征,从链接分析的角度提出用户被关注度的概念及计算方法。实验通过对用户被关注度、用户人气值和用户影响力进行比较和分析,证明用户被关注度可以有效地降低僵尸粉带来的虚假粉丝问题。
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原福永
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符茜茜
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关键词 新浪微博僵尸粉虚假粉丝用户被关注度    
Abstract:The paper takes Sina micro-blog platform as the research object, and analyzes the fake fans——zombie fans problems, and studies the definition and development of zombie fans and the current solutions. According to the user's existing form and the characteristics of relationship between them, it proposes the concept of user attention and its calculation method from the point of view of the link analysis. The experiment compares and analyzes the user attention, user popularity value and user influence, and the result is that the user attention can effectively reduce the fake fans problem caused by zombie fans.
Key wordsSina micro-blog    Zombie fans    Fake fans    User attention
收稿日期: 2012-03-27      出版日期: 2012-07-24
: 

TP302

 
基金资助:

本文系河北省自然科学基金项目“面向协同过滤的可信推荐算法研究”(项目编号:F2011203219)的研究成果之一。

引用本文:   
原福永, 冯静, 符茜茜, 曹旭峰. 一种降低微博僵尸粉影响的方法[J]. 现代图书情报技术, 2012, 28(5): 70-75.
Yuan Fuyong, Feng Jing, Fu Qianqian, Cao Xufeng. A Method to Reduce the Impact of Zombie Fans in Micro-blog. New Technology of Library and Information Service, 2012, 28(5): 70-75.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2012.05.11      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2012/V28/I5/70
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[1] 原福永, 冯静, 符茜茜. 微博用户的影响力指数模型[J]. 现代图书情报技术, 2012, 28(6): 60-64.
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