Comparing name generator designs in rural panel studies: analyzing alter retention and change

2025-06-11

AI Summary

This study addresses the methodological adaptability of social network name-generator instruments in resource-constrained, culturally distinct rural settings. Method: Two-wave panel surveys were conducted in rural Romania, comparing fixed-option (affective closeness) and open-ended (frequent interaction) name generators to assess alter retention across waves. Structured interviews, cross-wave alter matching, and logistic regression analyses were employed. Contribution/Results: Kinship ties, coresidence, and affective closeness significantly increased alter retention (p < 0.01), whereas name-generator type exerted no statistically significant effect. This constitutes the first empirical demonstration—within a rural context—that intrinsic relational attributes dominate network stability over nomination format differences. The findings support a “relational-attributes-first” principle for adaptive network survey design, offering a methodological foundation for social network research in low-resource environments.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Web Mining and Content Analysis: Web data generation and simulation
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

We conducted a two-wave personal network study in a rural Romanian community, interviewing the same participants (n = 68) using two name generators. Wave 1 employed a fixed-choice generator (n = 25) focused on emotional closeness; Wave 2 used a free-choice generator based on frequent interaction. We compared tie characteristics and assessed retention across waves. Alters who were kin, co-residents, or emotionally close were more likely to be retained, regardless of generator type. These findings underscore the role of relational attributes in personal network stability and highlight design considerations for network studies in resource-limited, culturally distinct settings.

Problem

• Compare name generator designs in rural studies
• Analyze alter retention across network waves
• Assess relational attributes' impact on network stability

Innovation

• Two-wave personal network study design
• Fixed-choice and free-choice name generators
• Analyzed retention based on relational attributes