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Journal of Data and Information Science
Volume 1 (2016): Numero 4 (November 2016)
Accesso libero
Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis
Frederik T. Verleysen
Frederik T. Verleysen
e
Arie Weeren
Arie Weeren
| 01 set 2017
Journal of Data and Information Science
Volume 1 (2016): Numero 4 (November 2016)
INFORMAZIONI SU QUESTO ARTICOLO
Articolo precedente
Articolo Successivo
Sommario
Articolo
Immagini e tabelle
Bibliografia
Autori
Articoli in questo Numero
Anteprima
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Cita
CONDIVIDI
Article Category:
Research Paper
Pubblicato online:
01 set 2017
Pagine:
33 - 59
Ricevuto:
02 ago 2016
Accettato:
24 ago 2016
DOI:
https://doi.org/10.20309/jdis.201624
Parole chiave
Bibliometrics
,
Social sciences and humanities
,
Publication patterns
,
Dissemination
,
Cluster analysis
© 2016 Frederik T. Verleysen, Arie Weeren
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Figure 1
Fuzzy clustering of 1,828 productive authors in the SSH (n = 1,828).
Figure 2
Fuzzy clustering of productive authors in Sociology (n = 57).
Figure 3
Probability density function of cluster membership coefficients for Sociology (n = 57).
Figure 4
Fuzzy clustering of productive authors in Linguistics (n = 121).
Figure 5
Probability density function of cluster membership coefficients for Linguistics (n = 121).
Figure 1
Fuzzy clustering of productive authors in Archeology (n = 32).
Figure 2
Probability density function of cluster membership coefficients for Archeology (n = 32).
Figure 3
Fuzzy clustering of productive authors in Communication Studies (n = 35).
Figure 4
Probability density function of cluster membership coefficients for Communication Studies (n = 35).
Figure 5
Fuzzy clustering of productive authors in Criminology (n = 39).
Figure 6
Probability density function of cluster membership coefficients for Criminology (n = 39).
Figure 7
Fuzzy clustering of productive authors in Economics (n = 271).
Figure 8
Probability density function of cluster membership coefficients for Economics (n = 271).
Figure 9
Fuzzy clustering of productive authors in Educational Sciences (n = 96).
Figure 10
Probability density function of cluster membership coefficients for Educational Sciences (n = 96).
Figure 11
Fuzzy clustering of productive authors in Humanities General (n = 43).
Figure 12
Probability density function of cluster membership coefficients for Humanities General (n = 43).
Figure 13
Fuzzy clustering of productive authors in History (n = 66).
Figure 14
Probability density function of cluster membership coefficients for History (n = 66).
Figure 15
Fuzzy clustering of productive authors in History of Arts (n = 35).
Figure 16
Probability density function of cluster membership coefficients for History of Arts (n = 35).
Figure 17
Fuzzy clustering of productive authors in Law (n = 206).
Figure 18
Probability density function of cluster membership coefficients for Law (n = 206).
Figure 19
Fuzzy clustering of productive authors in Literature (n = 62).
Figure 20
Probability density function of cluster membership coefficients for Literature (n = 62).
Figure 21
Fuzzy clustering of productive authors in Philosophy (n =108).
Figure 22
Probability density function of cluster membership coefficients for Philosophy (n = 108).
Figure 23
Fuzzy clustering of productive authors in Political Science (n = 74).
Figure 24
Probability density function of cluster membership coefficients for Political Science (n = 74).
Figure 25
Fuzzy clustering of productive authors in Psychology (n =199).
Figure 26
Probability density function of cluster membership coefficients for Psychology (n = 199).
Figure 27
Fuzzy clustering of productive authors in Social Health Sciences (n = 228).
Figure 28
Probability density function of cluster membership coefficients for Social Health Sciences (n = 228).
Figure 29
Fuzzy clustering of productive authors in Social Sciences General (n = 102).
Figure 30
Probability density function of cluster membership coefficients for Social Sciences General (n = 102).
Figure 31
Fuzzy clustering of productive authors in Theology (n = 54).
Figure 32
Probability density function of cluster membership coefficients for Theology (n = 54).
Anteprima