Social Network Structure, Wealth, and Wealth Inequality Across Cultures
This research provides empirical evidence for the link between social network structure and wealth inequality across a diverse range of human societies, addressing a gap in previous studies that relied primarily on online social media data.
This study collected data from approximately 3500 households across 46 diverse global communities to analyze the relationship between material wealth and social network structure. It found that a household's wealth is positively associated with the number of other households it both helps and is helped by, and that wealthier households tend to link with other wealthier households. Furthermore, communities with greater wealth inequality exhibited network structures where poorer households were less connected to wealthier ones.
Despite theory tying wealth inequality to social structure, empirical evidence has been limited to a few studies based on online social media data. This study uses a very different type of data, expands the global coverage to very different types of societies, and investigates new questions. In particular, we collect data from ~3500 sharing units (households) in 46 communities across the globe, representing considerable human social and cultural diversity. In each, we analyze the relationship between people's material wealth and the structure of social networks: borrowing money, sharing food, working together, socializing, etc. In almost all communities, a sharing unit's material wealth is positively associated with the number of other sharing units it both helps and is helped by. A sharing unit's wealth is also associated with the relative wealth of the sharing units to which it is linked---a form of economic homophily. Notably, communities with greater wealth inequality are also characterized by a network structure in which poorer sharing units are less well connected to wealthier ones. We augment our unique cross-cultural data with other community-level environmental, institutional, and economic attributes, opening new avenues for future research into the co-determination of wealth and social networks.