| Popis: |
This article introduces the preliminary results of a computational network model research approach. The aim of this model is to help estimating sampling errors of an ongoing personal network survey, as well as to describe the network observed.In this way, it presents an alternative path to the egocentric analysis of representative data of personal networks, using a simulation multiagent model in order to make a sociocentric analysis on partial information of a network.The survey used as empirical reference frame for the model is the Encuesta de la Deuda Social Argentina (2006), which is applied annually to 1500 household along the country, using a multistage representative sample of adults in 7 large Argentinean cities (Gran Buenos Aires, Córdoba, Mendoza, Neuquén, Salta, Resistencia and Bahía Blanca). |
