基于公开数据的特殊人群在线活动特征挖掘

刘楚楚; 吕欣

doi:10.11959/j.issn.2096-0271.2018047

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基于公开数据的特殊人群在线活动特征挖掘

专题：大数据创新实践 | 更新时间：2024-06-03

- 基于公开数据的特殊人群在线活动特征挖掘
- Analysis of online activity characteristics of hidden populations based on public data
- 大数据 2018年4卷第5期页码：2018047
- 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
- 作者简介：
  
  [ "刘楚楚（1993-），女，国防科技大学系统工程学院博士生，主要研究方向为大数据挖掘、复杂网络分析。" ]
  [ "吕欣（1984-），男，国防科技大学系统工程学院副教授，主要研究方向为大数据挖掘、人类行为动力学分析。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(71522014);国家自然科学基金资助项目;The National Natural Science Foundation of China(71771213);国家自然科学基金资助项目;The National Natural Science Foundation of China(71790615);国家自然科学基金资助项目;The National Natural Science Foundation of China(71431006)
- DOI：10.11959/j.issn.2096-0271.2018047
  中图分类号： G350，R512.91
- 网络首发：2018-09，
  
  纸质出版：2018-09-15
- 稿件说明：
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刘楚楚, 吕欣. 基于公开数据的特殊人群在线活动特征挖掘[J]. 大数据, 2018,4(5):2018047.

Chuchu LIU, Xin LU. Analysis of online activity characteristics of hidden populations based on public data[J]. Big Data Research, 2018, 4(5): 2018047.
刘楚楚, 吕欣. 基于公开数据的特殊人群在线活动特征挖掘[J]. 大数据, 2018,4(5):2018047. DOI： 10.11959/j.issn.2096-0271.2018047.

Chuchu LIU, Xin LU. Analysis of online activity characteristics of hidden populations based on public data[J]. Big Data Research, 2018, 4(5): 2018047. DOI： 10.11959/j.issn.2096-0271.2018047.

摘要

通过采集百度贴吧中的相关数据，从时间、文本、网络3个维度分析不同人群的在线活动特征，探索社会特殊人群的活动规律和心理状态。研究发现，艾滋病人群在线活动更规律，在线活动的主要目的是了解病情知识、记录日记，对本类型贴吧的关注很集中；男同性恋人群活跃时间晚，大多是为了娱乐交友，对本类型贴吧的关注具有很强的偏好性。总体上，艾滋病人群对自身病情十分关心，但男同性恋人群的艾滋病防护意识还不强。

Abstract

Data from 36 Baidu Tieba was collected.The sub-groups of users from three dimensions of time (temporal)

content (text) and interaction (network) were analyzed

and patterns of their online activity were tried to extract and characteristics of different populations was inferred.The result indicates that the temporal pattern of posting behavior is more regular for HIV-related users.Communities followed by these users are also HIV-related

revealing a significant clustering pattern.On the other hand

MSM groups are more active during midnight

and their motivation of online activities in the community is for entertainment and for meeting partners.There is also a strong preference of following the same type of Tiebas for MSM groups.In general

HIV-related users are very concerned about their health status.On the contrary

MSM-related users are lack of awareness for protection and prevention of AIDS.

关键词

Keywords

references

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