The Meeting of Minds: Forging Social and Intellectual Networks within Universities

How are social and intellectual relations structured and given shape within research universities? To answer these questions, we test to what extent various theoretically predicted processes explain the dynamics of academics’ networks of collaboration and shared language use in a unique longitudinal...

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Main Authors: Tobias H. Stark, J. Ashwin Rambaran, Daniel A. McFarland
Format: Article
Language:English
Published: Society for Sociological Science 2020-09-01
Series:Sociological Science
Subjects:
Online Access:https://sociologicalscience.com/articles-v7-18-433/
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spelling doaj-113b0a88db4742059007f67429599ab62020-11-25T03:42:33ZengSociety for Sociological ScienceSociological Science2330-66962330-66962020-09-0171843346410.15195/v7.a18The Meeting of Minds: Forging Social and Intellectual Networks within UniversitiesTobias H. Stark0J. Ashwin Rambaran1Daniel A. McFarland2Utrecht UniversityUniversity of MichiganStanford UniversityHow are social and intellectual relations structured and given shape within research universities? To answer these questions, we test to what extent various theoretically predicted processes explain the dynamics of academics’ networks of collaboration and shared language use in a unique longitudinal data set (1994 to 2005) of 2,631 faculty at a large private American university. Using the latest advances in stochastic actor-oriented models (in RSiena) and text analysis, we found that social and intellectual relations are clustered and centralized on bridging faculty who form a broader interdisciplinary hub of research in the university, and that, over time, this hub disseminated its style of (interdisciplinary) research to other faculty. These networks are shaped by selection based on age, gender, race, and academic rank as well as the coevolution of social and intellectual relations over time. Clear differences emerge in science, technology, engineering, and mathematics (STEM) fields and are strongly driven by structural mechanisms of clustering and centralization, whereas non-STEM fields (social sciences and humanities) are strongly driven by personal preferences of faculty members.https://sociologicalscience.com/articles-v7-18-433/knowledge organizationsacademic collaborationsociology of sciencemultiplex network analysislongitudinal social network analysis
collection DOAJ
language English
format Article
sources DOAJ
author Tobias H. Stark
J. Ashwin Rambaran
Daniel A. McFarland
spellingShingle Tobias H. Stark
J. Ashwin Rambaran
Daniel A. McFarland
The Meeting of Minds: Forging Social and Intellectual Networks within Universities
Sociological Science
knowledge organizations
academic collaboration
sociology of science
multiplex network analysis
longitudinal social network analysis
author_facet Tobias H. Stark
J. Ashwin Rambaran
Daniel A. McFarland
author_sort Tobias H. Stark
title The Meeting of Minds: Forging Social and Intellectual Networks within Universities
title_short The Meeting of Minds: Forging Social and Intellectual Networks within Universities
title_full The Meeting of Minds: Forging Social and Intellectual Networks within Universities
title_fullStr The Meeting of Minds: Forging Social and Intellectual Networks within Universities
title_full_unstemmed The Meeting of Minds: Forging Social and Intellectual Networks within Universities
title_sort meeting of minds: forging social and intellectual networks within universities
publisher Society for Sociological Science
series Sociological Science
issn 2330-6696
2330-6696
publishDate 2020-09-01
description How are social and intellectual relations structured and given shape within research universities? To answer these questions, we test to what extent various theoretically predicted processes explain the dynamics of academics’ networks of collaboration and shared language use in a unique longitudinal data set (1994 to 2005) of 2,631 faculty at a large private American university. Using the latest advances in stochastic actor-oriented models (in RSiena) and text analysis, we found that social and intellectual relations are clustered and centralized on bridging faculty who form a broader interdisciplinary hub of research in the university, and that, over time, this hub disseminated its style of (interdisciplinary) research to other faculty. These networks are shaped by selection based on age, gender, race, and academic rank as well as the coevolution of social and intellectual relations over time. Clear differences emerge in science, technology, engineering, and mathematics (STEM) fields and are strongly driven by structural mechanisms of clustering and centralization, whereas non-STEM fields (social sciences and humanities) are strongly driven by personal preferences of faculty members.
topic knowledge organizations
academic collaboration
sociology of science
multiplex network analysis
longitudinal social network analysis
url https://sociologicalscience.com/articles-v7-18-433/
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