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Why Name Generators with a Fixed Number of Alters may be a Pragmatic Option for Personal Network Analysis
Author(s) -
Maya Jariego Isidro
Publication year - 2018
Publication title -
american journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 112
eISSN - 1573-2770
pISSN - 0091-0562
DOI - 10.1002/ajcp.12271
Subject(s) - health psychology , personal network , public health , psychology , social psychology , computer science , computer network , medicine , nursing
Abstract Social network analysis has grown exponentially in recent years, giving rise to methodological innovations in different scientific disciplines. In psychology, social network analysis has been incorporated into studies of individual personality differences and has generated novel areas, such as network psychometrics and network interventions. In community psychology, a recent review examined the use of network analysis in American Journal of Community Psychology publications (Neal & Neal, American Journal of Community Psychology , 2017, 60, 279). Based on their study, the authors advise researchers to avoid using the fixed‐choice name generator when possible, as one of the five methodological recommendations proposed. In this essay, I explain how the recent increase of name generators with a fixed number of alters when studying personal networks is originally linked to an interest in describing structural properties. Second, I analyze the pragmatic contributions of this method: establishing a limit of alters a priori can entail advantages in terms of standardization and comparability of personal networks. Finally, to contextualize the methodological debate, I argue that personal networks represent the diversity of contexts in which the individual participates and are naturally integrated into community surveys.