José Luis Molina

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: Social network analysis is increasing rapidly in popularity, both in academic research and in managementconsulting as mentioned in this paper, and the concept of network has become the metaphor for understanding organizations, which is a way to escape from the atomism of traditional social science in which individual behavior is analyzed solely in terms of the attributes of the individ ual (e.g., openness to change, stake in the outcome, etc.).

TL;DR: An analysis of personal network visualization based on systematic evaluations of alter pairs compared to freestyle drawings respondents made of their personal network shows important details that are different from respondents' perceptions.

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: It is hoped that developing a set of standard guidelines and forms will help Institutional Review Boards (IRBs) to allow network research and to lay out some of the issues.