Community reactions against organizations can be driven by negative information spread through a diffusion process that is distinct from the diffusion of organizational practices. Bank panics offer a classic example of selective diffusion of negative information. Bank panics involve widespread bank runs, although a low proportion of banks experience a run. We develop theory on how organizational similarity, community similarity, and network proximity create selective diffusion paths for resistance against organizations.
Social capital theorists claim that belonging to a densely knit social network creates a shared identity, mutually beneficial exchange, trust, and a sense of belonging in that group. Taken together with the empirical research on the importance of social support and social integration for individuals’ well-being, there is reason to expect that the density of one’s personal social network should be positively related to well-being.
This article uses archival research to explore important differences in the discursive and institutional positioning of Mexican American and African American men during World War II. Through the focal point of the riots that erupted in Los Angeles and other major cities in the summer of 1943, I examine the ways in which black and Mexican "rioters" were imagined in official and popular discourses. Though both groups of youth were often constructed as deviant and subversive, there were also divergences in the ways in which their supposed racial difference was discursively configured.
In this article, I argue that the current views on the relation between fields and social networks are based on two false premises: first, that fields and social networks are mutually exclusive forms of relational structure, and second, that the objective form of relational structure is an a priori fact.
ASA speaks with sociologist Doug Hartmann at the 2016 ASA Annual Meeting on August, 2016, in Seattle, WA. Hartmann talks about what it means to “do sociology,” how he uses sociology in his work, highlights of his work in the field, the relevance of sociological work to society, and his advice to students interested in entering the field.
How can an organization help participants increase their social capital? Using data from an ethnographic study of Launch, an organization that prepares low-income students of color to attend elite boarding schools, I analyze how the organization’s structures not only generate social ties among students but also stratify those ties horizontally and vertically, thereby connecting students to a set of social contacts who occupy a range of hierarchical positions and who are able to provide access to resources that are beneficial in different contexts and at different times.
Sociological theory predicts that volunteers are likely to be more socially integrated into their communities than nonvolunteers. In this study, we test this theory by examining three dimensions of relations to neighbors—contact, social engagement, and the perception that neighbors trust each other. We hypothesize reciprocal relations between volunteering and these three measures.
We present a novel explanation for the group polarization effect whereby discussion among like-minded individuals induces shifts toward the extreme. Our theory distinguishes between a quantitative policy under debate and the discussion’s rhetorical frame, such as the likelihood of an outcome. If policy and frame position are mathematically related so that frame position increases more slowly as the policy becomes more extreme, majority formation at the extreme is favored, thereby shifting consensus formation toward the extreme.
Treatment interference (i.e., one unit’s potential outcomes depend on other units’ treatment) is prevalent in social settings. Ignoring treatment interference can lead to biased estimates of treatment effects and incorrect statistical inferences. Some recent studies have started to incorporate treatment interference into causal inference. But treatment interference is often assumed to follow a simple structure (e.g., treatment interference exists only within groups) or measured in a simplistic way (e.g., only based on the number of treated friends).
Randomized experiments on a network often involve interference between connected units, namely, a situation in which an individual’s treatment can affect the response of another individual. Current approaches to deal with interference, in theory and in practice, often make restrictive assumptions on its structure—for instance, assuming that interference is local—even when using otherwise nonparametric inference strategies.