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\documentclass{sig-alternate}
\usepackage[utf8x]{inputenc}
\usepackage{amsmath,amsfonts}
%yaron: removed class amsthm
\usepackage[pagebackref=true,breaklinks=true,colorlinks=true]{hyperref}
\usepackage[english]{babel}
\usepackage{algorithmic,algorithm}
\usepackage{booktabs}
\usepackage{graphicx}
\usepackage{bbm}
\usepackage{caption}
\usepackage{subcaption}
\input{definitions}
\begin{document}
%\conferenceinfo{WOODSTOCK}{'97 El Paso, Texas USA}
%\title{Efficient Adaptive Seeding: Leveraging the Friendship
%Paradox for Influence Maximization}
\title{Scalable Methods for Adaptively Seeding a Social Network}
%Paradox for Influence Maximization}
\numberofauthors{2}
\author{
\alignauthor
Thibaut Horel\\
\affaddr{Harvard University}\\
\email{thorel@seas.harvard.edu}
\alignauthor
Yaron Singer\\
\affaddr{Harvard University}\\
\email{yaron@seas.harvard.edu}
}
\date{}
\maketitle
\begin{abstract}
\input{sections/abstract}
\end{abstract}
%\category{H.4}{Information Systems Applications}{Miscellaneous}
%\category{D.2.8}{Software Engineering}{Metrics}[complexity measures, performance measures]
%\terms{Theory}
%\keywords{ACM proceedings, \LaTeX, text tagging}
\section{Introduction}
\input{sections/introduction}
\section{Model}
\label{sec:model}
\input{sections/model}
\section{Non-adaptive Optimization}
\label{sec:adaptivity}
\input{sections/adaptivity}
\section{Algorithms}
\label{sec:algorithms}
\input{sections/algorithms}
\section{Experiments}
\label{sec:experiments}
\input{sections/experiments}
\section{Related work}
\input{sections/related}
\section*{Acknowledgement}
This research is supported in part by a Google Research Grant and NSF grant CCF-1301976.
\bibliographystyle{abbrv}
\bibliography{main}
\appendix
\input{sections/appendix}
\balancecolumns % GM June 2007
\end{document}
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