报告题目： A New Clustered Temporal Point Process Model with Application to Social Media Data
报 告 人： 官永涛教授（美国迈阿密大学）
报告时间 ：2018年6月26日上午10:00-11:00
报告地点：知新楼B-1238

报告摘要：
In this talk, we propose a new class of clustered temporal point process model to model the posting patterns of users of Sina Weibo, the largest twitter-type online social media in China. The proposed model captures both inhomogeneity in the initial posting time as well as the clustering pattern in the subsequent posts following the initial post. We develop two EM-type algorithms for estimating the parameters in the proposed model, based on which we cluster the different user patterns. We apply our proposed methods to two social media datasets.

欢迎各位老师同学积极参加！