期刊文献+

基于特征选择的企业微博转发机制研究 被引量:4

The Research of Message Forwarding Mechanism of Enterprises' Microblogs Based on Feature Selection Techniques
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摘要 为丰富微博转发机制的研究,引入企业官方微博作为研究对象,探究微博的内容文本特征、形式化特征及时间性特征对微博转发影响的大小及影响规则。分析汇总影响微博转发的全特征集合,在此基础上进行特征选择和微博转发预测,并对不同产品的微博转发预测模型进行对比分析,以期挖掘各产品自适性的转发影响因子,为企业微博营销提供策略支持。 In order to enrich the research of microblog message forwarding mechanism, this article employs enterprisesˊmicroblogs as the research subject and aims at exploring the impact of text features, format features and temporal features on microblogs forwarding and the relevant rules. The paper firstly analyzes and aggregates the whole feature set and then perform feature selection and microblog forwarding prediction, then conducts a comparative analysis of forwarding forecast models on different products so as to dig out self-influential factors and providing microblog marketing advices for enterprises.
出处 《情报杂志》 CSSCI 北大核心 2014年第12期127-132,共6页 Journal of Intelligence
基金 北京自然科学基金项目"基于多源信息融合的北京公共危机事件情境感知研究"(编号:9142014)研究成果之一
关键词 企业微博 特征选择 最优微博特征集合 决策树算法 微博转发预测模型 微博转发规则 enterprisesˊmicroblog feature selection optimal microblog feature set decision tree algorithm microblogˊs message forwarding forecast model microblog message forwarding rules
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参考文献13

  • 1温晓薇.企业微博应用及其影响力机制研究[J].中共杭州市委党校学报,2013(5):62-68. 被引量:1
  • 2姚茜,卜彦芳.基于影响力研究的微博营销模式探析[J].经济问题探索,2011(12):117-121. 被引量:28
  • 3Szabo G, Huberman B A. Predicting the Popularity of OnlineContent[ J]. Communications of the ACM, 2010, 53 (8) : 80- 88.
  • 4Lerman K, Hogg T. Using a Model of Social Dynamics to Pre- dict Popularity of News[ C]. Proceedings of the 19th internation- al conference on World wide web. ACM, 2010: 621-630.
  • 5Boyd D, Golder S, Lotan G. Tweet,Tweet,Retweet: Conversa- tional Aspects of Retweeting on Twitter [ C ]. System Sciences (HICSS), 2010 43rd Hawaii International Conference on. IEEE, 2010: 1-10.
  • 6赵晶,冉志敏.微博转发功能的叙事特征分析[J].青年记者,2011(11Z):62-63. 被引量:2
  • 7D. Zarrella. Science of Retweets I EB/OL], http://danzarrel- la. com/the-science-of-retweets-report, html,2009.
  • 8Hong L, Dan O, Davison B D. Predicting Popular Messages in Twitter[ C ]. Proceedings of the 20th international conference companion on World wide web. ACM, 2011 : 57-58.
  • 9Petrovic S, Osborne M, Lavrenko V. RT to Win! Predicting Message Propagation in Twitter[ C]. ICWSM. 2011.
  • 10Can E F, Oktay H, Manmatha R. Predicting Retweet Count U- sing Visual Cues [ C ]. Proceedings of the 22nd ACM internation- al conference on Conference on information & knowledge man- agement. ACM, 2013: 1481-1484.

二级参考文献35

  • 1[波兰]彼得·什托姆普卡.信任-一种社会学理论[M].北京:中华书局,2005:33.
  • 2[美]彼得·布劳.社会生活中的交换与权力[M].李国武,译.北京:商务印书馆,2008.
  • 3陈阳.摄众传播时代,'摄服'你的消费者.新营销,2007,(9).
  • 4星巴克中国新浪官方微博.http://t.sina.corn.cn/starbucks.
  • 5霸王新浪官方微博.http://t.sina.com.cn/bawangxfs.
  • 6招商银行新浪官方微博.http://t.si-na.com.cn/cmbchina.
  • 7R. Lahan. The Economics of Attention[M]. Univer- sity of Chicago Press, 2006.
  • 8Pete Cashmore. YouTube: Why Do We Watch? [DB/ OL]. http://editin, cnn. com/2009/TECH/12/17/ cashmore, youtube/ index, html, 2010.
  • 9J. Berger, K. L. Milkman. Social Transmission, E- motion, and the Virality of Online Content[R]. Whar- ton Research Paper, 2010.
  • 10A. Tumaslan, T. O. Sprenger, P. G. Sanduer, et al. Predicting Elections with Twitter: What 140 Charac- ters Reveal about Political Sentiment[C]//Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. ICWSM,10, 2010.

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同被引文献39

  • 1中国互联网信息中心.第35次中国互联网络发展状况统计报告[R].2015-1.
  • 2Yang Z, Guo J,Cai K, et al. Understanding Retweefing Behaviors in Social Networks[ C]. Proceedings of the 19th ACM Interna- tional Conference on Information and Knowledge Management. ACM ,2010 : 1633-1636.
  • 3Petrovic S, Osborne M, Lavrenko V. RT to Win ! Predicting Mes- sage Propagation in Twitter[C ]. ICWSM. 2011.
  • 4Xu Z, Yang Q. Analyzing User Retweet Behavior on Twitter [C].Proceedings of the 2012 International Conference on Ad- vances in Social Networks Analysis and Mining (ASONAM 2012 ). IEEE Computer Society ,2012:46-50.
  • 5Peng H K, Zhu J, Piao D, et al. Retweet Modeling Using Condi- tional Random Fields[ C ]. Data Mining Workshops ( ICDMW), 2011 IEEE 11 th International Conference on. IEEE, 2011:336- 343.
  • 6ZamanT R,Herbrich R, Van Gael J,et al. Predicting Information Spreading in Twitter [ C ]. Workshop on Computational Social Science and the Wisdom of Crowds, NIPS. 2010, 104 (45) : 17599-601.
  • 7Kwak H,Lee C,Park H,et al. What is Twitter,a Social Network or a News Media.'? [C ]. Proceedings of the 19th International Conference on World Wide Web. ACM,2010:591-600.
  • 8Blei D M, Ng A Y, Jordan M I. Latent Dirichlet Allocation [J].the Journal of Machine Learning Research,2003 (3) :993-1022.
  • 9Wei X, Croft W B. LDA-based Document Models for Ad-hoc Retrieval[ C]. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM,2006 : 178-185.
  • 10徐琳宏,林鸿飞,潘宇,任惠,陈建美.情感词汇本体的构造[J].情报学报,2008,27(2):180-185. 被引量:384

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