Changing times: migrants’ social network analysis and the challenges of longitudinal research

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.

TL;DR: The authors explored how refugees use their social capital within and outside organizations to enter their host countries' labor market and found that vertical bridging social capital is a valuable source for securing adequate employment, whereas horizontal bonding social capital and independent job search methods may more often lead to low-skilled work or underemployment.

TL;DR: Here, network research is used as an example to illustrate how quantitative and quantitative approaches, techniques, and data are mixed along a continuum of fusion between quantitative and qualitative realms.

TL;DR: In this paper, the authors challenge several of the firmly held convictions drawn from extant research on return migration to the Caribbean, arguing that return migrants are more diverse, in terms of age, life-course transitions, class and gendered social positions, family networks, and migration histories.

TL;DR: A discrete time generative model for social network evolution that inherits the richness and flexibility of the class of exponential family random‐graph models and facilitates separable modelling of the tie duration distributions and the structural dynamics of tie formation is developed.

TL;DR: In this article, the authors provide useful pointers to the scope of qualitative longitudinal approaches, and extensive discussion of management and analysis of the particular and complex data produced, with particular focus on data analysis and interpretation.