deletions | additions       diff --git a/Procedimiento_Obtener_la_lista_de__.tex b/Procedimiento_Obtener_la_lista_de__.tex  index 5391353..8821b45 100644  --- a/Procedimiento_Obtener_la_lista_de__.tex  +++ b/Procedimiento_Obtener_la_lista_de__.tex 
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\section{Procedure}  \subsection{Home detection}  The first step is of the process involves determineing the  to determine the area in which each user lives. The Having the  granularity of the geolocated datawe have is  at the antenna level, so the objective for this part is to we can at most  match each user $u$ with its \textit{home antenna} $H_u$. We predict To do so, we assume  $H_u$ as the antenna in which user $u$ spends most of the time during weekday nights. This, according to our categorization of types of days of the week, corresponds to Monday to Thursday nights, from 8pm to 6am of the following day. % Speak about the min number of calls needed to say that we can know the home.    Note that users for which the inferred home antenna is located in \textit{Gran Chaco} (the risk area) will be considered the set of \textit{residents of Gran Chaco}.