Rev. | 24a4e32a39855546348f3f83ba86717b76debc83 |
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Größe | 8,880 Bytes |
Zeit | 2010-03-10 02:46:55 |
Autor | lorenzo |
Log Message | This short presentation shows some advanced features of beamer like the use
|
% Copyright 2007 by Till Tantau
%
% This file may be distributed and/or modified
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% 2. under the GNU Public License.
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% Author, Title, etc.
\title[Investigating Social Interactions via Active RFID]
{%
Investigating Social Interactions via Active RFID%
}
\author[Isella, Cattuto, Colizza, Vespignani]
{
Lorenzo~Isella\inst{1},
Ciro~Cattuto\inst{1},
Alain~Barrat\inst{1,2},
Vittoria~Colizza\inst{1},
Jean-Fran{\c c}ois Pinton\inst{3},
Wouter~Van den Broeck\inst{1},
Marco Quaggiotto\inst{1}
and
Alessandro~Vespignani\inst{1,4}
% Roded~Sharan\inst{4} \and
% \textcolor{green!50!black}{Till~Tantau}\inst{5}
}
\institute[Tübingen and others]
{
\inst{1}%
Complex Networks and Systems Group, Institute for
Scientific Interchange (ISI) Foundation, Turin, Italy.
\and
\vskip-2mm
\inst{2}%
Centre de Physique Th\'eorique, CNRS UMR 6207, Marseille, France.
\and
\vskip-2mm
\inst{3}%
Laboratoire de Physique de l'ENS Lyon, CNRS UMR 5672, Lyon, France.
\and
\vskip-2mm
\inst{4}%
School of Informatics and Biocomplexity Institute,
Indiana University, Bloomington, IN 47408, USA.
}
\date[WABI 2006]
{APS Meeting, Portland, USA, 2010}
% The main document
\begin{document}
\begin{frame}
\titlepage
\end{frame}
% \begin{frame}{Outline}
% \tableofcontents
% \end{frame}
% \section{Introduction}
% \subsection{Problem Formulation}
\begin{frame}[t]{Goals and Case Studies}
\setbeamercovered{dynamic}
\begin{itemize}
\pause
\item Social dynamics/human interaction
within
different environments ({\textcolor{red}{real time}} data collection).
\pause
% \item {\textcolor{red}{Real time}} data
% collection and visualization of the {\textcolor{red}{ evolving}}
% network.
\item Dynamics of both processes {\textcolor{red}{on}} the network and
{\textcolor{red}{of}} the network $\mapsto$ computational
epidemiology and computer science applications.
\pause
\item Technology and data from
{\textcolor{red}{Sociopatterns Project}}
(\url{http://www.sociopatterns.org/}).
\bi \pause
\item Science Gallery at
the Trinity College,
Dublin, Ireland ($\sim 3$ months, $\sim 10000$ visitors).
\pause \item HT2009 conference, Turin, Italy ($3$ days, $\sim 100$ participants).
\pause \item More experiments just completed (school in Lyon, Bambin Gesù
pediatric hospital in Rome).
\ei
\end{itemize}
\end{frame}
\begin{frame}[t]{Overview of the Infrastructure }
\vspace*{-.5cm}
\bi
\item Tags exchange packets at various powers and
report their contacts to antennas broadcasting the data to a server.
\item Low-power packets expose
{\textcolor{red}{face-to-face}} interactions at small distances
($\sim 1$m).
\ei
\vspace*{-.3cm}
\begin{figure}
\includegraphics[width=9cm, height=6.3cm]{interaction.pdf}
\end{figure}
\end{frame}
\begin{frame}[t]{From Physical Proximity to Networks}
\setbeamercovered{dynamic}
\vspace*{-0.3cm}
\bi \pause
\item Natural representation of physical proximity as a
network in addition to
\bi \pause
\item scalability \pause
\item unobtrusiveness \pause
\item low cost \pause
\item open (hardware and software) \pause
\item high spatial resolution $\sim 1$ meter \pause
\item high temporal resolution $\sim 5-20$ seconds.
\ei
\ei
\vspace*{-3.2cm}
\begin{figure}
\includegraphics[width=10cm, height=8cm]{ciro4.pdf}
\end{figure}
\end{frame}
\begin{frame}[t]{Aggregated Networks}
\vspace*{-0.5cm}
\bi
\item Aggregate all the contacts along $24$ hours.
%\item Vary aggregation time: investigate seasonality/stationarity.
\ei
\vspace*{-0.2cm}
\begin{figure}
\includegraphics[width=4.7cm, height=3.95cm]{original_network.pdf}
\includegraphics[width=4.7cm,
height=3.95cm]{original_network-14-7.pdf}
\end{figure}
\vspace*{-0.5cm}
\begin{figure}
\includegraphics[width=4.7cm, height=3.95cm]{original_network-19-5.pdf}
\includegraphics[width=4.7cm, height=3.95cm]{original_network-20-5.pdf}
\end{figure}
\end{frame}
\begin{frame}[t]{Network Dynamic Properties}
\vspace*{-0.4cm}
\bi
\item Entanglement of human behavior and network topology.
\ei
\vspace*{-0.35cm}
\begin{figure}
\includegraphics[width=4.7cm, height=3.5cm]{visit_histogram.pdf}
\end{figure}
\vspace*{-0.5cm}
\begin{figure}
\includegraphics[width=9cm, height=4.6cm]{dublin_color_panel.pdf}
\end{figure}
\end{frame}
\begin{frame}[t]{Conclusions}
\setbeamercovered{dynamic}
\bi \pause
\item {\textcolor{red}{It works!}}
Common sense results, but through testing of the
experimental infrastructure and the post-processing tools. \pause
\item Infrastructure deployed in much less predictable environments (school,
hospital) $\mapsto$ work in progress. \pause
\item Network aggregation over different time periods (seasonality,
trends, etc..). \pause
\item Network {\textcolor{red}{static}} properties ($P(k)$, $P(s)$, $P(w)$,
diameter, assortativity, etc..). \pause
\item Network {\textcolor{red}{dynamic}} properties: spread of epidemics and
diffusion processes on a longitudinal network.
\ei
\pause
\begin{center}
{\textcolor{blue}{\bf Thank you for your attention!}}
\end{center}
\end{frame}
\end{document}