Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment

Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima
<span title="">2014</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cxodin7vefbvre2vvnesvtkzem" style="color: black;">Social Networking</a> </i> &nbsp;
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
more &raquo; ... 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/sn.2014.31002">doi:10.4236/sn.2014.31002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ja6vkepe5jdz7pgpz5jpfo4nke">fatcat:ja6vkepe5jdz7pgpz5jpfo4nke</a> </span>
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