ecoom-day, 20 november 2015, antwerp. clustering by publication patterns of senior authors in the...
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ECOOM-day, 20 November 2015, Antwerp
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Clustering by publication patterns of senior authors in the Social Sciences and Humanities
Frederik Verleysen* & Arie Weeren***ECOOM - University of Antwerp**StatUA - University of Antwerp
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Introduction
Goal: to map diversity in scholarly publication patterns• beyond SS vs. H• beyond disciplines
-> analysis of VABB-SHW data at the author level
Method = Cluster analysis
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Cluster analysis (1)
• = A multivariate technique for classifying similar objects into groups
(authors w/ similar publication patterns = same group)
• Publication patterns of 1828 established authors (>9 weighted publications, >4 years)
• 3 attributes (11 variables) – share per author of:• Publication type (5)• Publication language (2)• Co-authorship (1)
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Cluster Analysis (2)
1. Distance Measure: Mahalanobis distance (Mahalanobis, 1936; Johnson & Wichern, 1992)
• Matrix of dissimilarity between all authors
2. Principal components analysis + Silhouette: • 2-D representation (reduction from 11-D)• 2-cluster solution
3. Partitioning algorithm (K-medoids) (Kaufmann & Rousseeuw, 1990)• Identification of medoids• All objects -> clustered around medoids
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Publication patterns at higher aggregation levels(Engels et al., 2012)
Social Sciences• journal-oriented• WoS and/or Scopus• English• frequent co-authorship
Humanities• importance of book publications• national/regional journals• Regional language (Dutch)• less frequent co-authorship
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Results
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Cluster Labels
Cluster 1• journal-oriented• WoS • English• frequent collaborations-> Cluster 1= Social Scientists?Cluster 2• importance of book publications• national/regional journals• Dutch• less frequent co-authorship-> Cluster 2 = Humanities scholars?
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SS Disciplines in 2 clusters in %Discipline % Cluster 1 % Cluster 2
Criminology 2.5 97.5
Economics 60.5 39.5
Educational Sciences 44.8 55.2
Social Health Sciences 88.1 11.9
Sociology 47.7 52.3
Political Sciences 22.9 77.1
Psychology 90.9 9.1
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H Disciplines in 2 clusters in %Discipline % Cluster 1 % Cluster 2
Archaeology 40.6 59.4
Communication Sciences 25.7 74.3
History 27.2 72.8
History of Arts 37.1 62.9
Law 3.8 96.4
Linguistics 47.1 52.9
Literature 51.6 48.4
Philosophy 47.2 52.8
Theology 18.5 81.5
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Conclusions
• Statistics at disciplinary level hide true diversity in SSH research and publishing
• Sharply contrasting publication patterns of the SS vs. the H is in most cases false
• Method: cluster analysis is promising for application in research evaluation of the SSH. Identification of:
• Units to be assessed• Outputs to be taken into account
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Thank you
Comments & Questions?
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