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基于社会网络的企业微博营销影响力模型 被引量:9

Influence Model of Enterprise Microblogging Marketing Based on Social Network
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摘要 衡量微博影响力进而把握营销的效果有助于企业开展有效的微博运营。本文着眼于电子商务企业持续引入购物链接引发信息流而形成的系列微博营销社会网络,基于用户与微博内容间的相互影响关系以及链接结构定义微博互动信息流图,进而构建考虑时间因素的企业用户和微博内容的影响力计算公式。利用当当网的微博数据作为样本,测试得到最佳权重值,确定企业微博营销影响力模型。实验结果表明,在微博社会网络中用户活跃度普遍较低的情况下,运用时机营销和刺激点营销等手段来开展持续的系列微博营销活动,有助于扩大和积累企业用户的影响力。 Measuring microblog influence and identifying marketing effect can help enterprises to develop effective microblogging opera- tions. We focus on microblog marketing social network generated by information flow when e-commerce business introduces marketing shopping links. Mieroblogging interactive information flow diagram is analyzed and defined based onthe consideration of mutual influence relationship between users and microblogs and link structure which is a true reflection of corporate mieroblogging social network interac- tion and information flow. With the foundation of interactive information flow diagram, formulas computing influence scores of business users and microblogs content are proposed respectively. The optimal weight values are obtained by experiments using microblog data from dangdang.com, and then formulas are determined. Experimental results show that in the situation that user activity level of microblog so- cial network is generally low, ongoing series microblog marketing activities with opportunity marketing or stimulus marketing contribute to the expansion and accumulation of microblog business users' influence.
作者 左文明 黄秋萍 陈华琼 莫小华 Zuo Wenming Huang Qiuping Chen Huaqiong Mo Xiaohua(School of Economics & Commerce, South China University of Technology, Guangzhou 510006 School of Business Administration, South China University of Technology, Guangzhou 510640)
出处 《管理评论》 CSSCI 北大核心 2016年第9期163-171,共9页 Management Review
基金 国家自然科学基金国际(地区)合作与交流项目(71420107024) 广东省协同创新与平台环境建设专项资金项目(2014-248) 广东省哲学社会科学"十二五"规划项目(GD15CGL17)
关键词 社会网络 社会化电子商务 微博营销 影响力 social network, social commerce, microblog marketing, influence
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  • 1Gaedke Y., Robra-bissantz S., Christian S., et al. An Analyse of Variables Influencing E-Readiness 2. O[C]. Proceedings of the IADIS International Conference on e-Commerce, 2010.
  • 2Liang T. P., Turban E. Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce[J]. InternationalJournal of Electronic Commerce, 2011, 16( 2) : 5-14.
  • 3TangJ., SunJ., Wang C., et al. Social Influence Analysis in Large-Scale Networks[C]. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009.
  • 4Yamaguchi Y., Takahashi T. TURank: Twitter User Ranking Based on User-Tweet Graph Analysis[C]. Web Information Systems Engineering - WISE 2010, 2010.
  • 5Cha M., Haddadi H., Benevonuto F., et al. Measuring User Influence in Twitter: The Million Follower Fallacy[C]. Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 2010.
  • 6Goyal A., Bonchi F., Lakshmanan 1. V. S. Learning Influence Probabilities in Social Networks[C]. Proceedings of the Third ACM International Conference on Web Search and Data Mining -WSDM ' 10, 2010.
  • 7Ye S., Wu S. F. Measuring Message Propagation and Social Influence on Twitter.com[M]. Heidelberg: Springer Berlin Heidelberg, 2010.
  • 8Zwass V. Co-Creation: Toward a Taxonomy and an Integrated Research Perspective[J]. InternationalJournal of Electronic Commerce, 2010,15( 1) :11-48.
  • 9Cheung M. Y., Luo c., Sia C. 1., et al. Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-Line Consumer Recommendations[J]. InternationalJournal of Electronic Commerce, 2009,13 ( 4) : 9-38.
  • 10Park D., Lee 1., Han 1. The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement[J]. InternationalJournal of Electronic Commerce, 2007,11 (4) : 125-148.

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