An exploratory comparison of name generator content: Data from rural India

Area of Science:

• Sociology
• Social Network Analysis
• Anthropology

Background:

• Sociologists have long studied social network measurement, but research in developing countries using sociocentric data is limited.
• Previous name generator analyses have rarely utilized data from developing nations due to a scarcity of sociocentric studies.

Purpose of the Study:

• To analyze 12 different name generators within a sociocentric network study in rural India.
• To extend name generator research by examining network structure, homophily, and status differences using unique non-Western data.

Main Methods:

• Conducted a sociocentric network study in 75 villages in rural Karnataka, India.
• Analyzed 12 distinct name generators to assess network characteristics.
• Examined network structural measures, homophily, and status differences between respondents (egos) and their contacts (alters).

Main Results:

• Domestic interaction questions generated highly clustered and centralized networks.
• Strongest similarities between respondents and contacts were observed for gender, caste, and religion.
• Domestic interaction questions yielded homogeneous ties, while advice questions yielded heterogeneous ties.
• Respondents generally nominated individuals of higher social status, though some questions revealed more egalitarian relationships.

Conclusions:

• The choice of name generator significantly impacts the structure and characteristics of the measured social network.
• Network researchers must balance culturally specific relevance with the need for global generalizability when selecting name generators.
• Findings underscore the importance of context in social network analysis, particularly in non-Western settings.