期刊文献+

社会化媒体商业预测价值研究——基于电影票房数据的分析 被引量:7

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摘要 互联网的迅猛发展催生了社区论坛、SNS社区、微博等社会化媒体,社会化媒体积累了大量的用户,已经逐步凸显其商业价值。本文依据电影观众在新浪微博、时光网以及豆瓣网等社会化媒体平台上的活跃度数据与预期票房数据,分析其相关关系,并将预期票房与真实票房数据进行对比,探索社会化媒体预测的精准性,验证社会化媒体在市场趋势预测方面的商业价值,最后提出相关营销启示。
作者 郑亚琴 樊鹏
出处 《吉林工商学院学报》 2012年第3期60-63,共4页 Journal of Jilin Business and Technology College
基金 教育部人文社科规划基金"微博口碑营销对企业品牌价值影响的动态评价研究"(12YJA630197)
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参考文献11

  • 1中文互联网数据研究资讯中心.易观国际:2011年Q4中国微博市场活跃度用户规模达2.49[EB/OL].http://www.199it.corn/archives/category/intemet/social-network/micro-blog/china-micro-blog,2012,(3).
  • 2陈林.社会化媒体的营销力[J].互动行销,2009,(10).
  • 3Pennock, D. M., et.al.The real power of artificial markets[J]. Science, 2006, ( 6 ), 291 ( 5506 ): 987-988.
  • 4Chert, Kay-Yut., et.al. Predicting the future[J]. Information Systems Frontiers, 2003,5( 1 ): 47-61.
  • 5Leskovec, J., et.al. The dynamics of viral marketing[C]. Ann Arbor, Michigan, USA, 2006, ( 7 ) : 11-15.
  • 6Jansen, B., et.al. Twitter power: Tweets as electronic word of mouth[J]. Journal of the American Society for Information Science and Technology. Wiley Subscription Services, Inc., A Wiley Company Hoboken, 2009:2169-2188.
  • 7Gruhl D., et.al. The predictive power of online chatter[C]. SIGKDD Conference on Knowledge Discovery and Data Mining, Chic- ago, IL, USA , 2005, ( 8 ): 78-87.
  • 8Joshi M., et.al. Movie Reviews and Revenues: An Experiment in Text Regression[C].In Proceedings of the North American Chapter of the Association for Comoutational Linguistics Human Language Technologies Conference, Los Angeles, CA, 2010, ( 6 ).
  • 9Zhang, W., and Skiena, S.Improving movie gross prediction through news analysis[J]. In Web Intelligence, pages 301-304, 2009.
  • 10Mishne, G., et.al. Predicting movie sales from blogger sentiment[C]. In AAA12006 Spring Symposium on Computational Appro- aches to Analysing Weblogs, Stanford University.Stanford, California, 2006, ( 3 ):27-29.

同被引文献61

  • 1朱晓峰.生命周期方法论[J].科学学研究,2004,22(6):566-571. 被引量:74
  • 2易兰丽.基于人类动力学的微博用户行为统计特征分析与建模研究[D].北京:北京邮电大学,2012.
  • 3杜思源.电影票房的影响因素分析--基于中国大陆电影市场[J].中国商贸,2013(10):184-187.
  • 4Lin Y R, Sundaram H, Kelliher A. Summarization of LargeScale Social Network Activity [ C ]. IEEE. Proceedings of the 2009 IEEE International Conference on Acoustics, Speechand Signal Processing. Washington, DC, USA: IEEE,2009 : 3481-3484.
  • 5Cain J, Scott D R, Akers P. Pharmacy Students" Facebook Activi- ty and Opinions Regarding Accountability and E-Pro-fessional- ism[ J]. American Journal of Pharmaceutical Education ,2009,73 (6) :104.
  • 6Greene J A, Choudhry N K, Kilabuk E, et al. Online Social Net- working by Patients with Diabetes: A Qualitative Evaluation of Communication with Facebook [ J ]. Journal of General Internal Medicine, 2011,26 ( 3 ) :287 -292.
  • 7Brandtzaeg P B, Heim J. Why People Use Social Networking Sites[ J ]. Online Communities And Social Computing, 2009, 5621:143-152.
  • 8Kim Y, Lee H S. Conceptual Modeling on the Relationship be- tween Trust and Stickiness to Corporate Blog in Korea[ J]. Infor- mation-An International Interdisciphnary Journal, 2011,14 (4) : 1151-1169.
  • 9Li Q,Wang l,Chen Y P ,et al. User Comments for News Recom- mendation in Forum-based Social Media [ J ]. Information Sci- ences,2010,24(180) :4929-4939.
  • 10Paris C M,Lee W J,Seery P. The Role of Social Media in Pro- moting Special Events: Acceptance of Facebook "Events'[ J ]. In- formation and Communication Technologies In Tourism, 2010 (14) :531-541.

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