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Collaborating, Connecting, and Clustering in the Humanities

A Case Study of Networked Scholarship in an Interdisciplinary, Dispersed Team

Bibliographic Data

ID5160292
AuthorsAnabel Quan-Haase (0000-0002-2560-6709, University of Western Ontario, London, Ontario, Canada), Juan Luis Suárez (0000-0001-9302-2986, University of Western Ontario, London, Ontario, Canada), David M Brown (0000-0002-6156-4868, University of Western Ontario, London, Ontario, Canada), David Brown (0000-0003-0275-8723, Western University)
Year2015
Volume59
Issue5
Pages565-581
Publication date2015-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0002764214556806
OpenAlexW1977290048
LanguageEN
Citations received5
References cited25

To what extent does networked scholarship in the humanities parallel established models in the sciences? The present study examines the connections of a 7-year interdisciplinary, dispersed, collaborative network composed of 33 humanities scholars investigating the Hispanic Baroque. Our findings suggest that project membership leads to greater network density and integration, without necessarily increasing the level of in-depth collaboration typically found in the sciences. Hence, collaborative models in the humanities, while increasingly important, are distinct from their counterparts in the sciences. The study provides a more nuanced view of networked scholarship because it demonstrates that large-scale collaborative projects can yield a high level of integration of the overall network, while at the same time allowing for strong thematic clustering. This dual structural process is relevant because not all network members can form dense relations with one another. Furthermore, we identified that principal investigators showed different networking strategies

Art · Cartography · Cluster analysis · Collaborative network · Data science · Digital humanities · Geography · Humanities · Library science · Political science · Principal (computer security) · Scholarship · Social science · Sociology · Thematic map · Artificial Intelligence · Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · scientometrics and bibliometrics research

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Unique citing works5
Citations per year0.45
Citation span2015 - 2024 (10)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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