Miranda J. Lubbers

TL;DR: In this article, the authors discuss and illustrate various approaches for the longitudinal analysis of personal networks (multilevel analysis, regression analysis, and SIENA) and combine the different types of analyses in a study of the changing personal networks of immigrants.

TL;DR: In this paper, the authors investigated whether personal networks influenced ethnic self-identification of migrants in Spain and found that personal networks in which network members, mostly family and people from the country of origin, formed one dense cluster were associated with ethnic exclusive selfidentifications, whereas more heterogeneous personal networks tended to exhibit more plural definitions of belonging.

TL;DR: An empirical comparison of four specifications of the exponential family of random graph models (ERGM), distinguished by model specification (dyadic independence, Markov, partial conditional dependence) and, for the Markov model, by estimation method (Maximum Pseudolikelihood, Maximum Likelihood).

TL;DR: In a longitudinal study, long term educational attainment in secondary education was predicted by motivation, meta-cognition and self-regulation as well as student background variables and prior achievement as mentioned in this paper.

TL;DR: This special issue seeks to discuss recent research into social networks and migration that use SNA approaches that have broader implications for migrants and non-migrants alike.