时间：2015年6月4日(星期四)下午15:00
地点：仓山校区成功楼603学术报告厅
主讲：陈淑红博士 中南大学
主办：数学与计算机科学学院, 福建省网络安全与密码技术重点实验室
专家简介：陈淑红，女，博士，从事计算机网络、信任评价、社区发现研究，已在国外学术期刊上发表论文十余篇，其中JCR一区期刊论文两篇，影响因子分别为3.893和2.639。主持湖南省博士创新项目1项，湖南省教育厅项目1项，作为主要参与人参与日本东京电力Tepsys公司国际项目1项，参与教育部博士点基金项目1项、国家自然科学基金重大研究计划项目1项，参与湖南省优秀青年项目1项和一般项目2项。曾获十佳教师、优秀教师、教学质量优秀奖、巾帼建功奖等奖项。
报告摘要: Large-scale mobile social networks (MSNs) facilitate connections between mobile devices and provide an effective mobile computing environment in which users can access, share and distribute information. In MSNs, users may belong to more than one community or cluster, and overlapping users may play a special role in complex MSNs. For such MSNs, a key problem is how to evaluate or explain user trust worthiness. In this context, trust inference plays a critical role in establishing trusted social links between mobile users. To infer fuzzy trust relations between users in MSNs with overlapping communities, we propose an ef?cient trust inference mechanism based on fuzzy communities, which we call κ-Fuzzy Trust. We propose an algorithm for detection of community structure in complex networks under fuzzy degree κ and construct a fuzzy implicit social graph. We then construct a mobile social context including static attributes (such as user pro?le and prestige) and dynamic behavioural characteristics ( such as user interaction partners, interaction familiarity, communication location and time ) based on the fuzzy implicit social graph. We infer the trust value between two mobile users using this mobile social context. We discuss the aggregation and propagation of trust values for overlapping users and indirect connected users. Finally, we evaluate the performance of κ-Fuzzy Trust in simulations. The results show the validity of our fuzzy inference mechanism for behavioural trust relationships in MSNs. They also demonstrate that κ-Fuzzy Trust can infer trust values with high precision.