Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment

• 作者: Hiroyuki Ohsaki Kazuki Takashima Keiichiro Kagawa Naoaki Ono Sho Tsugawa Yuichi Itoh
• 来源期刊: 社交网络(英文)
• 学科: 医学
• 关键词: SOCIAL NETWORK AMBIENT ENVIRONMENT DYNAMIC SOCIAL NETWORK Analysis CENTRALITY
• 年，卷（期）: 2014,（1）
• 页码范围: 9-18
• 页数: 10页
• 分类号: R73

摘要

This paper presents our vision of large-scale, dynamic social network analysis in real environments, which we expect to be enabled by the introduction of large-scale heterogeneous sensors in the ambient environment. We address challenges in realizing large-scale dynamic social network analysis in real environments, and discuss several promising applications. Moreover, we present our design and implementation of a prototype system for quasi-realtime social network construction. We finally present preliminary experimental results of dynamic social network analysis for six-person social gatherings in a real environment, and discuss the feasibility of dynamic social network analysis and its effectiveness.