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  • 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
  • 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:03
  • 期号:01
  • 页码:9-18
  • DOI:10.4236/sn.2014.31002
  • 语种:English
  • 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
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