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From a study on the impact of racial resentment on political ideology to analysis of issues including minority college admissions, the success of lying demagogues, and public opposition to “religious freedom” laws, the most downloaded sociological research published in the American Sociological Association’s journals in 2018 spanned a wide range of topics and social concerns.
Social networks represent two different facets of social life: (1) stable paths for diffusion, or the spread of something through a connected population, and (2) random draws from an underlying social space, which indicate the relative positions of the people in the network to one another. The dual nature of networks creates a challenge: if the observed network ties are a single random draw, is it realistic to expect that diffusion only follows the observed network ties? This study takes a first step toward integrating these two perspectives by introducing a social space diffusion model.