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基于社会系统响应函数的在线群体分类研究

刘嘉琪,  齐佳音

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文章导航 > 电子与信息学报  > 2016 >  38(9): 2141-2149
刘嘉琪, 齐佳音. 基于社会系统响应函数的在线群体分类研究[J]. 电子与信息学报, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
引用本文: 刘嘉琪, 齐佳音. 基于社会系统响应函数的在线群体分类研究[J]. 电子与信息学报, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
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LIU Jiaqi, QI Jiayin. Research on Online Group Classification Based on the Response Function of Social System[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
Citation: LIU Jiaqi, QI Jiayin. Research on Online Group Classification Based on the Response Function of Social System[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
shu

基于社会系统响应函数的在线群体分类研究

doi: 10.11999/JEIT160515
  • 1.

    (北京邮电大学经济管理学院 北京 100876) ②(北京邮电大学可信分布式计算与服务教育部重点实验室 北京 100876) ③(上海对外经贸大学工商管理学院 上海 201620)

基金项目: 

国家973基础重大课题(SQ2012CB037347)，国家自然科学基金(71231002)

Research on Online Group Classification Based on the Response Function of Social System

  • 1.

    (Institute of Economic Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Funds: 

The Major State Basic Research Development Program of China (973 Program)(SQ2012CB037347), The National Natural Science Foundation of China (71231002)

    摘要
  • 摘要: 该文致力于丰富在线群体的研究体系，为未来探索深层次科学问题提供支撑。讨论了在线群体与在线话题的定义及常见分类方式。重点展现了一种全新的依据观测社会系统响应函数的趋势将在线话题分为4类的定性研究方法，即外源性首要传播型话题、外源性次要传播型话题、内源性首要传播型话题和内源性次要传播型话题，并且进一步以此区分讨论不同类型话题的在线群体。同时，明确地提出了规范的使用步骤与实际操作时可能遇到的问题及解决方法。最后尝试运用该方法来估计以新浪微博与百度贴吧为代表的在线社交网络平台中各类话题群体的分布情况。
    Abstract: Devoted to enriching the research system of online group, and laying the foundation for exploring deep scientific problem in the future, this paper discusses the definition of online group, online topic, common classification methods, and primarily introduces a new qualitative method of online topic classification based on observing the trend of a social system response function. Through this method, online topic discussed by online group can be divided into exogenous critical topic, exogenous subcritical topic, endogenous critical topic, and endogenous subcritical topic. The standardized steps to this method are put forward, and it is figured out that the problems may occur when applying it to the practice. Whats more, this method is tried to estimate the distribution of four types of topics in the two representatives of online social network platform Sina microblog and Baidu Tieba.
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出版历程
  • 收稿日期:  2016-05-23
  • 修回日期:  2016-07-22
  • 刊出日期:  2016-09-19

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