大数据 ›› 2018, Vol. 4 ›› Issue (5): 15-28.doi: 10.11959/j.issn.2096-0271.2018047

• 专题:大数据创新实践 • 上一篇    下一篇

基于公开数据的特殊人群在线活动特征挖掘

刘楚楚1,吕欣1,2,3()   

  1. 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
  • 出版日期:2018-09-15 发布日期:2018-12-10
  • 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。
  • 基金资助:
    国家自然科学基金资助项目(71522014);国家自然科学基金资助项目(71771213);国家自然科学基金资助项目(71790615);国家自然科学基金资助项目(71431006)

Analysis of online activity characteristics of hidden populations based on public data

Chuchu LIU1,Xin LU1,2,3()   

  1. 1 College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
    2 School of Business,Central South University,Changsha 410083,China
    3 Department of Public Health Sciences,Karolinska Institute,Stockholm 17177,Sweden
  • Online:2018-09-15 Published:2018-12-10
  • Supported by:
    The National Natural Science Foundation of China(71522014);The National Natural Science Foundation of China(71771213);The National Natural Science Foundation of China(71790615);The National Natural Science Foundation of China(71431006)

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。

关键词: 特殊人群, 艾滋病, 男同性恋, 在线特征, 复杂网络

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.

Key words: hidden population, AIDS, MSM, online features, complex network

中图分类号: 

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