Budak C, Agrawal D, El Abbadi A. Diffusion of Information in Social Networks: Is It All Local?[C]//Data Mining (ICDM), 2012 IEEE 12th International Conference on. IEEE, 2012: 121-130.
将模型分为了Local和Global两类，在Global模型中引入了diffusion of innovation相关研究的思想。
Matsubara Y, Sakurai Y, Prakash B A, et al. Rise and fall patterns of information diffusion: model and implications[C]//Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2012: 6-14.
结合SI与Self-excited Hawkes process，考虑节点活动的周期性，得出以时间为自变量的函数，衡量一个hashtag或者meme整体传播情况，可做预测
复杂网络方面，参见《复杂网络及其应用》汪小帆等编著：
