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SNA视角下的在线社交网络情感传播研究综述 被引量:11

Research Review of Sentiment Dissemination through Online Social Network under the Perspective of SNA
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摘要 情感信息传播研究对于关涉舆情的决策制定具有重要价值。目前在线社交网络已成为网民情感表达和传播的主要途径,相关研究主要采用社会网络分析(SNA)视角。为了解在线社交网络情感传播研究现状,文章从SNA视角出发,从3个方面对在线社交网络情感传播的相关研究成果进行梳理。最后总结了目前研究存在的不足和未来的研究方向。 Research on the dissemination of sentimental information is valuable to the decision-making of public opinions.At present,online social network has become the main channels through which people express and communicate their emotions.Present studies of the sentiment dissemination through online social network mainly adopt the perspective of social network analysis( SNA).In order to systematically understand the research status of sentiment dissemination through online social network,from the perspective of SNA,the paper combs the related research results of sentiment dissemination through online social network from 3aspects.Finally,the paper discusses the deficiencies of present studies and directions of future research.
作者 纪雪梅 王芳
出处 《情报理论与实践》 CSSCI 北大核心 2015年第7期139-144,共6页 Information Studies:Theory & Application
基金 国家社会科学基金重大项目"我国网络社会治理研究"的成果之一 项目编号:14ZDA063
关键词 情感分析 情感传播 在线社交网络 社会网络分析 sentimental analysis sentiment dissemination online social network social network analysis
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  • 1徐健.基于网络用户情感分析的预测方法研究[J].中国图书馆学报,2013,39(3):96-107. 被引量:32
  • 2BOLLEN J, MAO H, PEPE tion : Twitter sentiment and A. Modeling public mood and emo- phenomena [ C ]// Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM) . Barcelona, Spain, 2011 : 450-453. 被引量:1
  • 3THELWALL M, BUCKLEY K, PALTOGLOU G. Senti-ment in Twitter events [ J ]. Journal of the American Society for Infor- mation Science and Technology, 2011, 62 (2) : 406-418. 被引量:1
  • 4BOLLENA J, MAO H, ZENG X. Twitter mood predicts the stock market [J]. Journal of Computational Science, 2011, 2 (1): 1-8. 被引量:1
  • 5梁坤,蒋翠清,丁勇.基于中文社会媒体的股票收益预测——从干系人视角分析[J].情报学报,2013,32(4):390-396. 被引量:3
  • 6TUMASJAN A, SPRENGER T O, SANDNER P G, et al. Pre- dicting elections with Twitter: what 140 characters reveal about political sentiment [ C ]////Proceedings of the International AAAI Conference on Weblogs and Social Media, Washington, DC, May, 2010: 178-185. 被引量:1
  • 7SADIKOV E, PARAMESWARAN A G, VENETIS P. Blogs as predictors of movie success [ C] ////Proceedings of the Third In- ternational Conference on Weblogs and Social Media, 2009: 304-307. 被引量:1
  • 8O'CONNOR B, BALASUBRAMANYAN R, ROUTLEDGE B R, et al. From tweets to polls: linking text sentiment to public opinion time series [ C ] //Proceedings of the International AAAI Conference on Weblogs and Social Media, Washington, DC, May, 2010: 122-129. 被引量:1
  • 9THELWALL M, WILKINSON D, UPPAL S. Data mining emo- gender differences in MySpaee [J]. Journal of the American Society for Information Science and Technology, 2010, 61 (1) : 190-199. 被引量:1
  • 10MILLER V. New media, networking and phatic culture [ J ]. Convergence: the International Journal of Research into New Media Technologies, 2008, 14 (4) : 387-.400. 被引量:1

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