Measuring multilevel dynamics between social and content networks

Measuring multilevel dynamics between social and content networks

时间：2011年5月5日 地点：九龙湖校区计算机楼401室

报告简介：

The Social Semantic Web has begun to provide connections between users within social networks and the content they produce across the whole of the Social Web. Thus, the Social Semantic Web provides a basis to analyze both the communication behavior of users together with the content of their communication. However, there is little research combining the tools to study communication behaviour and communication content, namely, social network analysis and content analysis. Furthermore, there is even less work addressing the longitudinal characteristics of such a combination. I will present a general framework for measuring the dynamic bi-directional influence between communication content and social networks. This framework has been applied in two use-cases: online forum discussions and conference publications. The results provide a new perspective over the dynamics involving both social networks and communication content.

报告人简介：

Shenghui Wang, is currently a PostDoc at the Network Institute, Free University of Amsterdam. She received her PhD degree from the Computer Science Department of the University of Manchester in 2007. She previously worked in the STITCH project which focused on the problem of semantic interoperability in the Cultural Heritage domain, including matching different thesauri, deploying the mappings in various interoperability applications. Since June 2009, she has been working jointly in the Departments of Computer Science, Communication Science and Organization Science, focusing on network-related dynamics. She has published several papers in the leading computer science conferences and journals, most recently on the topics of concept drift and influence dynamics between co-evolving networks.

计算机网络和信息集成教育部重点实验室（东南大学）