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学术报告401:社会网络建模:一种计算方法

发布日期: 2018/6/21  投稿: 周时强    部门:    浏览次数: 922   返回


 

报 告 人:Yohsuke Murase professor

               RIKEN Advanced Institute for Computational Science

报告时间:06 月 29 日(周五)10:00~11:30

报告地点:宝山校区计算机大楼 1001 室

邀 请 人:李卫民 副教授

 

报告摘要:

The abundance of digital data due to the rapid development of ICT has generated entirely new, multidisciplinary approaches in social sciences, in which network theory and computational science play a considerable role both in terms of data analysis and modeling. One of the most fundamental difficulties of social simulations is that the models for social phenomena are not established well as those for natural sciences.  I will give a brief overview of computational social science and then introduce our recent researches on modeling social relationships. In order to understand the underlying social activities, we propose microscopic models and compare the properties of the generated networks with the empirical observations.Then,I will introduce two kinds of frameworks for parameter-space explorations which is being developed by our team. Based on the current problems,we are developing frameworks which enables us to explore parameter space more efficiently.

 

报告人简介:

He graduated from University of Tokyo and got a doctor's degree. From 2013, research scientist at RIKEN Advanced Institute for Computational Science. Visiting researcher at Aalto Univ. Research interest includes complex systems, complex networks, and high-performance computing.