期刊文献+

问答社区评论区用户关系研究——以知乎社区“知识付费”话题为例

下载PDF
导出
摘要 知乎一直以来的定位是社交化问答社区,其口号为"与世界分享你的知识、经验和见解"。为了更深入地了解知乎用户的交互关系与互动状况,选取知乎社区"知识付费"话题作为文章的研究对象,抓取该话题下的回答及对应评论区的用户数据并进行编码处理,利用社会网络分析法进行分析,通过从网络基本属性、凝聚子群、中心性三个维度进行考量,发现在该话题下参与成员的互动不多、只有个别成员较为活跃并与他人进行互动、整体上关于话题的讨论是围绕几个人展开。
作者 段诗萌
出处 《科技传播》 2018年第15期162-163,共2页 Public Communication of Science & Technology
  • 相关文献

参考文献2

二级参考文献36

  • 1甘永成.虚拟学习社区的知识建构分析框架[J].中国电化教育,2006(2):27-31. 被引量:31
  • 2任志安,毕玲.网络关系与知识共享:社会网络视角分析[J].情报杂志,2007,26(1):75-78. 被引量:55
  • 3Nam K K, Ackerman M S, Adamic LA. Questions in, knowledge in: a study of naver' s question answering community[A]/ /Proceedings of the 27th International Conference on Human Factors in Computing Systems [ C]. New York : ACM Press, 2009: 779-788.
  • 4Oh S. The relationships between motivations and answering strategies: An exploratory review of health answerers' behaviors in Yahoo I Answers [J]. Proceedings of the American Society for Information Science and Technology, 2011,48(1): 1-9.
  • 5Agichtein E, Castillo C, Donato D, et al. Finding high quality content in social media[A]//WSDM '08 Proceedings of the International Conference on Web Search and Web Data Mining[C]. New York:ACM,2008: 183-194.
  • 6Shah C, Pomerantz J. Evaluating and predicting answer qualityin community QA[A]/ /SIGIR ' 10 Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval[C]. New York: ACM,2010 :411-418.
  • 7Kim S, Oh S. Users' relevance criteria for evaluating answers in a social Q&A site[J]. Journal of the American Society for Information Science and Technology, 2009, 60( 4) : 716-727.
  • 8Jeon J, Croft W B, Lee J H, et al. A framework to predict the quality of answers with non-textual features[A]/ /SIGIR '06 Proceedings of the 29rd International ACM SIGIR Conference on Research and Development in Information Retrieval[C]. Washington: ACM, 2006:228-235.
  • 9Ko J, Si L, Nyberg E. A probabilistic framework for answer selection in question answering[A]//Proceedings of NAACL-HLT[C]. Rochester, NY: Association for Computational Linguistics, 2007: 524-531.
  • 10Jurczyk P, Agichtein E. Discovering authorities in question answer communitiesby using link analysis[A]//Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management[C].Lisboa:ACM,2007:919-922.

共引文献97

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部