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diff --git a/paper/sections/intro.tex b/paper/sections/intro.tex index cc29ed7..206fbf6 100644 --- a/paper/sections/intro.tex +++ b/paper/sections/intro.tex @@ -62,7 +62,7 @@ required number of observed cascades is $\O(poly(s)\log m)$ \cite{Netrapalli:2012, Abrahao:13}. A more recent line of research~\cite{Daneshmand:2014} has focused on applying -advances in sparse recovery to the graph inference problem. Indeed, the graph +advances in sparse recovery to the network inference problem. Indeed, the graph can be interpreted as a ``sparse signal'' measured through influence cascades and then recovered. The challenge is that influence cascade models typically lead to non-linear inverse problems and the measurements (the state of the |