Measuring Vogue in American Sociology (2011-2020)

2025-03-22

AI Summary

This study investigates the emergence and diffusion mechanisms of “vogue topics” in U.S. sociological knowledge production from 2011 to 2020. Methodologically, it constructs a dynamic semantic network from abstracts of doctoral dissertations and journal articles across 114 Ph.D.-granting institutions—bypassing conventional citation- or co-authorship-based approaches—to trace how word-pair associations migrate from peripheral to central positions over time. Results reveal that applied themes (e.g., crime, health) dominate trend diffusion, whereas theoretical topics play a subordinate role; institutional prestige and geographic location significantly shape both trend generation and adoption, yet elite institutions do not unidirectionally lead diffusion; and knowledge dissemination follows a专业化 stratified structure driven by contextual institutional factors rather than simple top-down propagation. The study contributes a novel methodological framework for modeling disciplinary knowledge dynamics and provides robust empirical evidence on the socio-institutional drivers of topical change in sociology.

Technology Category

• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Application Domains: Humanities & Computational Social Science
• Knowledge Representation and Reasoning: Action, Change, and Causality

Application Category

• Web Mining and Content Analysis: Topic discovery and tracking
• Social Networks and Social Media: Applications and emergent phenomena
• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies

Abstract

This study investigates the social dynamics of knowledge production in American sociology. Departing from traditional approaches focused on citations, co-authorship, and faculty hiring, we introduce a method capturing the dynamics of networks inferred from text to explore which ideas gain traction (a.k.a vogue). Drawing on sociology doctoral dissertations and journal abstracts, we trace the movement of word pairs between peripheral and core semantic networks to uncover dominant themes and methodological trajectories. Our findings demonstrate that regional location and institutional prestige play critical roles in shaping the production and adoption of research trends across 114 sociology PhD-granting institutions in the United States. We show that applied research topics, such as crime and health, despite being perceived as less prestigious than theoretically oriented subjects, serve as the primary driving force behind the emergence and diffusion of trends within the discipline. This work sheds light on the institutional mechanisms that govern knowledge production, demonstrating that sociology's intellectual landscape is not dictated by simple top-down diffusion from elite institutions but is instead structured by the contextual and institutional factors that facilitate specialization and segmentation.

Problem

• Analyzing social dynamics of knowledge production in sociology
• Tracking word pairs to identify dominant research themes
• Examining institutional factors influencing trend adoption in sociology

Innovation

• Text network analysis for idea traction
• Tracking word pairs in semantic networks
• Institutional factors shape research trends