2022 Volume 78 Issue 4 Pages 210-221
This study proposes a data collection, modeling and simulation method to describe the endogenous generation mechanism of social networks considering activity participation. The key characteristics of the proposed methods are (1) the joint use of a name generator (to elicit social networks) and an activity diary as a feasible survey method, (2) the overcoming of the limitations of the partial observation of the social networks generation process through modeling and simulation, and (3) the description of population-level network endogenous generation mechanism based on empirical data. In addition, an empirical analysis is conducted using data from newly arrived international students in Japan, where factors affecting network formation of international students were identified, and the effects of a set of policies on network formation evaluated quantitatively through simulation.
