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Analyzing the network structure
and gender differences of the
“NKOS community”
Philipp Mayr
GESIS – Leibniz Institute for the Social Sciences
2018-09-13, Porto, Portugal
https://doi.org/10.1007/s00799-018-0243-0
@article{karimi2018,
title = {Analyzing the network structure and gender differences among the members
of the Networked Knowledge Organization Systems (NKOS) community},
url = {http://arxiv.org/abs/1803.04225},
doi = {10.1007/s00799-018-0243-0},
journal = {International Journal on Digital Libraries},
author = {Karimi, Fariba and Mayr, Philipp and Momeni, Fakhri},
year = {2018}}
Motivation
• European NKOS network has held a long-
running series of annual workshops at
ECDL & TPDL
• NKOS research output has never been
subject to analysis
– Esp. the (informal) research output of
the NKOS community
• Most workshop output has never
published as formal publications
– Except 4 special issues
(2* J. Dig. Inf.,
New Rev. Hypermed. Multimed,
Int. J. Dig. Libr.)
2
http://hypermedia.research.southwales.ac.uk/kos/nkos/
http://nkos.slis.kent.edu/
NKOS workshop bibliography
• We checked all workshop published agendas and compiled a bibliography
of past NKOS workshops (2000-2016)
• Manual author name disambiguation of each author entries
• The bibliographic data as bibtex files are available
3
https://github.com/PhilippMayr/NKOS-bibliography
Dataset & Analysis
• First analysis for the 15th NKOS workshop at TPDL
2016 (no US workshops), see workshop paper
http://ceur-ws.org/Vol-1676/paper1.pdf
– For the follow-up IJDL paper we added all US
NKOS workshops and other scattered events
• Dataset for the paper includes: 123 papers with a sum
of 256 distinct authors (just co-authored papers)
• We describe the network with standard network
analytic measures
– Global properties
– Centrality of the authors
– Gender differences in
collaboration behavior 4
The dataset
Results
5
- 44 isolated components
- Largest connected component (107 nodes)
- Men = purple, women = orange
Results
6
Largest component:
- Louvain clustering method identified
9 clusters
- Size of the nodes represent the degree
- Majority of European researchers
- Members of a cluster are often from the
same institution / geographic proximity
Gender differences
• 97 (38%) women and 157 (62%) men and 2 unidentified
names
• 46 women and 59 men in the largest component
• Homophily:
– gender assortativity in this community is 0.1
“there is a positive tendency among scholars in this
community to collaborate with the same gender”
– homophily among women is higher than the homophily
among men in this network (see Slide 5)
7
Conclusions
• Limited dataset:
– Focus on research paper presentations
(organization activity not covered)
– Influencial papers and standards are missing
– Bibliometric data is missing
• Future work:
– Complementing the dataset
– Combining network and bibliometric measures
8
Thank you
Contact:
Dr Philipp Mayr
GESIS - Leibniz Institute for the Social Sciences
Germany
Email: philipp.mayr@gesis.org
Twitter: @philipp_mayr
9
https://doi.org/10.1007/s00799-018-0243-0Special thanks go to my co-authors:
Fariba Karimi and Fakhri Momeni

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Analyzing the network structure and gender differences of the “NKOS community”

  • 1. Analyzing the network structure and gender differences of the “NKOS community” Philipp Mayr GESIS – Leibniz Institute for the Social Sciences 2018-09-13, Porto, Portugal https://doi.org/10.1007/s00799-018-0243-0 @article{karimi2018, title = {Analyzing the network structure and gender differences among the members of the Networked Knowledge Organization Systems (NKOS) community}, url = {http://arxiv.org/abs/1803.04225}, doi = {10.1007/s00799-018-0243-0}, journal = {International Journal on Digital Libraries}, author = {Karimi, Fariba and Mayr, Philipp and Momeni, Fakhri}, year = {2018}}
  • 2. Motivation • European NKOS network has held a long- running series of annual workshops at ECDL & TPDL • NKOS research output has never been subject to analysis – Esp. the (informal) research output of the NKOS community • Most workshop output has never published as formal publications – Except 4 special issues (2* J. Dig. Inf., New Rev. Hypermed. Multimed, Int. J. Dig. Libr.) 2 http://hypermedia.research.southwales.ac.uk/kos/nkos/ http://nkos.slis.kent.edu/
  • 3. NKOS workshop bibliography • We checked all workshop published agendas and compiled a bibliography of past NKOS workshops (2000-2016) • Manual author name disambiguation of each author entries • The bibliographic data as bibtex files are available 3 https://github.com/PhilippMayr/NKOS-bibliography
  • 4. Dataset & Analysis • First analysis for the 15th NKOS workshop at TPDL 2016 (no US workshops), see workshop paper http://ceur-ws.org/Vol-1676/paper1.pdf – For the follow-up IJDL paper we added all US NKOS workshops and other scattered events • Dataset for the paper includes: 123 papers with a sum of 256 distinct authors (just co-authored papers) • We describe the network with standard network analytic measures – Global properties – Centrality of the authors – Gender differences in collaboration behavior 4 The dataset
  • 5. Results 5 - 44 isolated components - Largest connected component (107 nodes) - Men = purple, women = orange
  • 6. Results 6 Largest component: - Louvain clustering method identified 9 clusters - Size of the nodes represent the degree - Majority of European researchers - Members of a cluster are often from the same institution / geographic proximity
  • 7. Gender differences • 97 (38%) women and 157 (62%) men and 2 unidentified names • 46 women and 59 men in the largest component • Homophily: – gender assortativity in this community is 0.1 “there is a positive tendency among scholars in this community to collaborate with the same gender” – homophily among women is higher than the homophily among men in this network (see Slide 5) 7
  • 8. Conclusions • Limited dataset: – Focus on research paper presentations (organization activity not covered) – Influencial papers and standards are missing – Bibliometric data is missing • Future work: – Complementing the dataset – Combining network and bibliometric measures 8
  • 9. Thank you Contact: Dr Philipp Mayr GESIS - Leibniz Institute for the Social Sciences Germany Email: philipp.mayr@gesis.org Twitter: @philipp_mayr 9 https://doi.org/10.1007/s00799-018-0243-0Special thanks go to my co-authors: Fariba Karimi and Fakhri Momeni