Collaborating, Connecting, and Clustering in the Humanities
A Case Study of Networked Scholarship in an Interdisciplinary, Dispersed Team
Bibliographic Data
| ID | 5160292 |
|---|---|
| Authors | Anabel 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) |
| Year | 2015 |
| Volume | 59 |
| Issue | 5 |
| Pages | 565-581 |
| Publication date | 2015-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764214556806 |
| OpenAlex | W1977290048 |
| Language | EN |
| Citations received | 5 |
| References cited | 25 |
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
Networked
Centrality in social networks conceptual clarification
Choosing a centrality measure
It's not what you know it's who you know
Creating socially networked knowledge through interdisciplinary collaboration
Research as a Transdisciplinary Networked Process
Changing Ties in a Far-Flung, Multidisciplinary Research Network
Advice Giving and Receiving Within a Research Network
Networked Work and Network Research
Cognitive Structure and Informant Accuracy
| Unique citing works | 5 |
|---|---|
| Citations per year | 0.45 |
| Citation span | 2015 - 2024 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |