文章基本信息

标题：Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment
本地全文：下载
作者：Sho Tsugawa ; Hiroyuki Ohsaki ; Yuichi Itoh 等
期刊名称：Social Networking
印刷版ISSN：2169-3285
电子版ISSN：2169-3323
出版年度：2014
卷号：3
期号：1
页码：9-18
DOI：10.4236/sn.2014.31002
出版社：Scientific Research Publishing
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.
关键词：Social Network; Ambient Environment; Dynamic Social Network Analysis; Centrality