浙江工业大学网络空间安全研究院邀请到南方科技大学理学院胡延庆作线上学术报告

题目：Detecting and modelling real percolation and phase transitions of information on social media

时间：周三早上9：30（9月29日）

形式：腾讯会议线上

摘要：It is widely believed that information spread on social media is a percolation process, with parallels to phase transitions in theoretical physics. However, evidence for this hypothesis is limited, as phase transitions have not been directly observed in any social media. Here, through an analysis of 100 million Weibo and 40 million Twitter users, we identify percolation-like spread and find that it happens more readily than current theoretical models would predict. The lower percolation threshold can be explained by the existence of positive feedback in the coevolution between network structure and user activity level, such that more-active users gain more followers. Moreover, this coevolution induces an extreme imbalance in users’ influence. Our findings indicate that the ability of information to spread across social networks is higher than expected, with implications for many information-spread problems.

简介：胡延庆，南方科技大学理学院副教授，博士生导师。2011年毕业于北京师范大学系统科学学院，获得系统理论方向理学博士学位。获得北京市优秀博士论文奖、广东省特支科技创新青年拔尖人才、广东省杰出青年基金等奖励与项目。2011-2013年纽约城市大学Levich Institute 博士后。近几年主要从事大数据、复杂网络、图神经网络等方面的研究。发表论文 50 余篇，包括 Nature Physics，Nature Human Behaviour， PNAS，Nature Communications，PRL，PRX等杂志。