carolang edited Procedimiento_Obtener_la_lista_de__.tex  about 8 years ago

Commit id: 697d2342c4531664afcb6909c11c924db19e703b

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The first step is to determine the area in which each user lives. The granularity of the geolocated data we have is at the antenna level, so the objective for this part is to match each user $u$ with its \textit{home antenna} $H_u$.    We predict $H_u$ 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.  \begin{block}{Home Prediction}  \begin{itemize}    \item This was chosen to be % Speak about  the most used frequently used antenna, considering only calls made in week evenings.  %La antena elegida como hogar es la más frecuentemente usada,   %considerando llamados nocturnos en días de semana.    \item The hypothesis: most min number  of people are at home on any given weeknight.   %La hipótesis: la mayoría de los días, las personas se encuentran en sus casas durante la noche.  %Así, cada antena queda asociada a un conjunto de usuarios: sus \textit{habitantes}.  \item Note: 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}.%Nota: Los usuarios cuya antena inferida pertenece al Gran Chaco (la zona de riesgo)  %se consideran el conjunto de \textit{habitantes de Gran Chaco}.    \end{itemize}  \end{block}  \subsection{Detection of vulnerable users}  \begin{block}{Vulnerable users}  \begin{itemize}  \item For every user, we listed all Given the set of inhabitants  of the call receivers in a given month.  %Para cada usuario, obtuvimos la lista de todos los usuarios con los que se comunicó. %ojo que esto podria cambiar en versiones posteriores cuando cambie la definicion de 'vulnerable'    \item If risk area, we want to find those with  a given user communicated high communication  with the \textit{Gran Chaco}, residents of the endemic zone.    We get the list of calls for each user, and, using this data,  we considered him to have higher risk determine the set  of having Chagas and neighbors in the social graph. Then,  we tagged him tag the neighbors of any resident of the endemic zone  as potentially \textit{vulnerable}.  %Si un usuario tuvo comunicaciones con la zona endémica (Gran Chaco), se considera que tiene mayor riesgo de tener Mal de Chagas, y lo marcamos como potentialmente \textit{vulnerable}.  \end{itemize}  \end{block} vulnerable.    \begin{block}{Antenna aggregation}  \begin{itemize}