一、会议主题

Identification of Specific Users in Online Social Networks

二、主讲人

宫庆媛 博士

三、摘要

Nowadays online social networks (OSNs) have attracted billions of users and made great impact to people’s life. A comprehensive understanding of user behavior is helpful to improve the user experience. Among the OSN users, there exist some specific users, such as malicious users, structural hole spanners and influential users. These specific users play a critical role in OSN services, for example, affecting the information dissemination. Therefore, identifying specific users will provide useful understandings of the characteristics of information diffusion in OSNs. Also, this will be helpful for filtering misleading information and further improving the user experience. Given the growth of user base, the diversity of user behavior and the increase of cross-OSN activities, the identification of specified users has become a challenging job. In this talk, I will introduce our recent work in identifying three types of specific users.

四、主讲人介绍

宫庆媛，复旦大学博士后，主要研究方向为计算机网络、在线社交网络及海量数据挖掘。作为第一作者发表高水平学术论文6篇，包括中科院一区国际期刊论文一篇（影响因子10.356）、中国计算机学会推荐列表B类国际会议和期刊论文五篇，作为合作作者发表国内外论文6篇。担任IEEE INFOCOM HotPOST Workshop’18国际会议网站主席，IJCAI’21、 IEEE ICCCN’18国际会议程序委员会委员。曾受邀在清华大学、德国哥廷根大学做学术报告。带领团队获首届上海高校开放数据创新研究大赛一等奖，获评2014年谷歌Anita Borg 计算机学科女性奖学金，2020届上海市优秀毕业生。

五、邀请人

孙宇清教授

六、报告时间

11月14日9:10-10:00（星期六）

七、报告方式

腾讯会议，会议 ID：322 137 079

点击链接入会：https://meeting.tencent.com/s/rq0SDEGlG4av

八、主办单位

山东大学语义计算实验室