Stochastic Actor-oriented Models for Multiplex Conversation-advice Network Dynamics Based on the Self-determination Theory

Abstract

This study examines the co-evolution of conversation and advice networks in a Japanese university class, based on the self-determination theory in which autonomy, competence, and relatedness are the three key concepts. The network data were collected during the spring and fall semesters from 2013 to 2016. Stochastic actor-oriented models were used to estimate the dynamics in the two networks. The results are as follows: (1) There was an asymmetric property in the advice ties; (2) One tie of a network created a tie of another type of network at the dyadic level; and (3) For enhancing advice ties, the autonomy effect of conversation tie was effective in the fall semester. The findings of this study offer a new understanding of the dynamics between conversation and advice networks.