期刊文献+

微博信息生命周期研究 被引量:18

Research on Lifecycle of Microblog
原文传递
导出
摘要 作为一种新环境下的信息资源,微博产生的海量数据也具有相应的生命周期。以3个微博热门话题数据为分析对象,将评论数作为微博信息生命周期的表征量,分析微博信息生命周期的特征、分布类型、半衰期等。发现微博信息生命周期有负指数型、平缓型、爆发型和锯齿型4种类型,其类型特征与微博活跃度无关,并且微博信息不具有特定的半衰期。 As a kind of information resource in new environment, the mass data produced by Microl)log has its ifespan. Based on the study of three hot topics from Microblog, the amount of comments is considered as the characteristic parameter of Microblog message's lifecycle. The lifeeycle and its half-life. The types of Microblog The Microblog doesn's have a fixed half-life and its ~, Microblog life cycle lifespan study analyzes the features and distribution of Microblog message's message's life cycle include negative exponent, flat, burst andzigzag. activity is irrelevant to its lifespan type.
出处 《图书情报工作》 CSSCI 北大核心 2014年第1期72-78,100,共8页 Library and Information Service
关键词 微博 生命周期 寿命 半衰期 评论数 Microblog life cycle lifespan half-life comment count
  • 相关文献

参考文献12

  • 1Lardinois F. The short lifespan of a tweet; Retweets only happen within the first hour[EB/OL].http://readwrite.com/2010/09/29/the _ short _ lifespan _ of a tweet _retweets_only_happen#awesm =~ onHN0dzZd0FEm7,2013.
  • 2Zaman T,Fox E B,Bradlow E T. A Bayesian approach for predicting the popularity of tweets[OL].http://arxiv.org/pdf/1304.6777v1.pdf,2013.
  • 3Barbagallo D,Bruni L,Francalanci C. An empirical study on the relationship between Twitter sentiment and influence in the tourism domain[A].New York:Springer-Verlag,2012.506-516.
  • 4Yang Zi,Guo Jingyi,Cai Keke. Understanding retweeting behaviors in social networks[A].New York:ACM,2010.1633-1636.
  • 5Kong Shoubin,Feng Ling,Sun Guozheng. Predicting lifespans of popular tweets in Microblog[A].New York:ACM,2012.1129-1130.
  • 6Naveed N,Gottron T,Kunegis J. Bad news travel fast:A content-based analysis of interestingness on Twitter[A].New York:ACM,2011.1-7.
  • 7Spiro E,Dubois C,Butts C. Waiting for a retweet:Modeling waiting times in information propagation[EB/OL].http://snap.stanford.edu/social2012/papers/spiro-dubois-butts.pdf,2013.
  • 8Zhao Xun,Zhu Feida,Qian Weining. Impact of multimedia in Sina weibo:Popularity and life span[A].New York:Springer-Verlag,2013.55-65.
  • 9Jenders M,Kasneci G,Nanmann F. Analyzing and predicting viral tweets[A].Geneva:International World Wide Web Conferences Steering Committee,2013.657-664.
  • 10Price D J. Network of Science Papers[J].SCIENCE,1965,(3683):510-515.

同被引文献206

引证文献18

二级引证文献144

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