2Goldenberg J,Libai B,Muller E.Talk of the network:Acomplex systems look at the underlying process of word-of-mouth[J].Marketing Letters,2001,12(3):211-223.
3Young H P.The diffusion of innovations in social networks[G]//Economy as an Evolving Complex System.New York:Oxford University,2005:267-282.
4Kempe D,Kleinberg J,Tardos e.Maximizing the spread ofinfluence through a social network[C]//Proc of the 9th ACM SIGKDD Int Conf on Knowledge Discovery and DataMining.New York:ACM,2003:137-146.
5Saito K,Kimura M,Ohara K,et al.Learning continuous-time information diffusion model for social behavioral data analysis[G]//Advances in Machine Learning.Berlin:Springer,2009:322-337.
6Guille A,Hacid H.A predictive model for the temporaldynamics of information diffusion in online social networks[C]//Proc of the 21st Int Conf Companion on World WideWeb.New York:ACM,2012:1145-1152.
7Yang J,Counts S.Predicting the speed,scale,and range ofinformation diffusion in twitter[C]//Proc of the 4th Int AAAI Conf on Weblogs and Social Media.Menlo Park:AAAI,2010:355-358.
8Lagnier C,Denoyer L,Gaussier E,et al.Predictinginformation diffusion in social networks using content anduser's profiles[G]//Advances in Information Retrieval.Berlin;Springer,2013:74-85.
9Saito K,Ohara K,Yamagishi Y,et al.Learning diffusionprobability based on node attributes in social networks[G]//Foundations of Intelligent Systems.Berlin:Springer, 2011:153-162.
10Spiro E S,Irvine C A,DuBois C L,et al.Waiting for aretweet : Modeling waiting times in information propagation[EB/OL].(2012-12-07)[2013-05-20].http://snap.Stanford.edu/social2012/papers/spiro-dubois-butts.pdf.