Are respondents more likely to list alters with certain characteristics?: Implications for name generator data

By Alexandra Marin. Soc. Networks, 2004

297 citations recorded by the source corpus.

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Social Media as Social Lubricant (2015, methodology): “This approach is commonly known as a random-effects model (Snijders & Bosker, 1999; see also Marin, 2004).”
Visualizing Personal Networks: Working with Participant-aided Sociograms (2007, background): “See also Alexandra Marin’s (2004) work detailing the relationships between network density and recall order.”
The role of social networks in information diffusion (2012, background): “Historical attempts to collect data on how often pairs of individuals communicate and where they get their information have been prone to biases [10, 33], further obscuring the empirical relationship between tie strength and diﬀusion.”
Social Networks and Cognition (2020, methodology): “Given these limitations, relationships obtained via free recall methods are likely to be biased in favor of closer/stronger ties; thus, this method remains useful when research interest is focused on these areas (Marin 2004).”
Predicting tie strength with social media (2009, background): “In this way, our work also overcomes the problem of retrospective informant accuracy [3, 30, 32].”
Dispositional Optimism and the Emergence of Social Network Diversity (2012, methodology): “Network data as gathered by the GSS name generator preferentially tap close discussion contacts (Marin 2004).”