报告题目：在线社会网络信息扩散规律和趋势预警研究
报 告 人：张贝贝
报告时间：2017年11月8日上午10:00-11:00
报告地点：bat365正版唯一官网二楼副203会议室
报告人介绍：张贝贝，博士后，西安交通大学电信学院计算机科学与技术博士后流动站，主要研究方向为网络舆情信息扩散规律分析与建模、在线社会复杂网络结构演化模式识别等。先后主持和主要参与多项国家自然科学基金（面上项目和青年项目），国家“863”基金项目，科技部支撑项目，中国博士后基金项目，目前已在Information Sciences，Physica A, Journal of Network and Computer Application, Asian Journal of Control, IIMST(USA), Systems Science, ACM等国际著名期刊和会议上发表论文。并申请多项发明专利和软件著作权。
内容摘要
The theory of online topics’ propagation mechanism is one of the most important branches of the theory of topic propagation on online social network and is concerned in recent years. As a solution to this branches, epidemic dynamics theory bring us some enlightenment. We proposed a dynamic online topic propagation model to describe the mechanism of online topic propagation, by the analysis of the model we summarize the sufficient condition for estimating whether the topic propagation trend will be dying off or uniformly weak persistence，based on the model and the threshold criteria of sufficient condition, we design the long-term online topic propagation trend prediction method and the short-term online topic propagation trend method. Furthermore, we analyzed the time-dependent network structure evolution of the online topic complex networks by the method of dynamic network structure evolution in time-dependent online social networks. Also, as its application examples, we examine our methods on real data of online social network to show the effectiveness of our proposal.