Everyone's an influencer: quantifying influence on twitter

作者: Eytan Bakshy , Jake M. Hofman , Winter A. Mason , Duncan J. Watts

DOI: 10.1145/1935826.1935845

关键词:

摘要: … to label individuals as either influencers or non-influencers, simply … We note, however, that our use of the term influencer cor… immediate influence, we can then construct disjoint influence …

参考文章(36)
Richard A Olshen, Charles J Stone, Leo Breiman, Jerome H Friedman, Classification and regression trees ,(1983)
Hamed Haddadi, Fabr´ıcio Benevenuto, Krishna P. Gummadi, Meeyoung Cha, Measuring User Influence in Twitter: The Million Follower Fallacy international conference on weblogs and social media. pp. 10- 17 ,(2010)
Richard A. Berk, An Introduction to Sample Selection Bias in Sociological Data American Sociological Review. ,vol. 48, pp. 386- ,(1983) , 10.2307/2095230
Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andrew Y. Ng, Cheap and fast---but is it good? Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08. pp. 254- 263 ,(2008) , 10.3115/1613715.1613751
Free Press, Macmillan Company, Everett Mitchell Rogers, Diffusion of Innovations ,(1962)
Bernardo A. Huberman, Lada A. Adamic, Jure Leskovec, The dynamics of viral marketing ACM Transactions on The Web. ,vol. 1, pp. 5- ,(2007) , 10.1145/1232722.1232727
Daniel Gruhl, R. Guha, David Liben-Nowell, Andrew Tomkins, Information diffusion through blogspace Proceedings of the 13th conference on World Wide Web - WWW '04. pp. 491- 501 ,(2004) , 10.1145/988672.988739