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Analyzing the network structure and gender differences among the members of the Networked Knowledge Organization Systems (NKOS) community

Social and Information Networks · Submitted 12 Mar 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our results show that apart from differences in centrality measures of the scholars, they have higher tendency to collaborate with those in the same institution or the same geographic proximity.

how it is stated · asserted 0.99 read the record →

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arXiv ID1803.04225 (version 1)
Pith IDD5UJU24B, Pith's permanent record of this paper and its review
CitationFakhri Momeni, Fariba Karimi, Philipp Mayr. "Analyzing the network structure and gender differences among the members of the Networked Knowledge Organization Systems (NKOS) community." arXiv:1803.04225 (2018). https://pith.science/paper/D5UJU24B
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 8,731 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.16 · human participants 0.27 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.97 · compares with prior results 0.06 · mentions code or data availability 0.84.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In this paper, we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2016 from a network analytical perspective. We focus on the papers presented at the European and U.S. NKOS workshops and in addition four special issues on NKOS in the last 16 years. For this purpose, we have generated an open dataset, the "NKOS bibliography" which covers the bibliographic information of the research output. We analyze the co-authorship network of this community which results in 123 papers with a sum of 256 distinct authors. We use standard network analytic measures such as degree, betweenness and closeness centrality to describe the co-authorship network of the NKOS dataset. First, we investigate global properties of the network over time. Second, we analyze the centrality of the authors in the NKOS network. Lastly, we investigate gender differences in collaboration behavior in this community. Our results show that apart from differences in centrality measures of the scholars, they have higher tendency to collaborate with those in the same institution or the same geographic proximity. We also find that homophily is higher among women in this community. Apart from small differences in closeness and clustering among men and women, we do not find any significant dissimilarities with respect to other centralities.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper, we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2016 from a network analytical perspective. contribution 1.00 0.92 0.03 asserted 0.86
s1 We focus on the papers presented at the European and U.S. method 0.82 0.42 0.01 asserted 0.68
s2 NKOS workshops and in addition four special issues on NKOS in the last 16 years. method 0.82 0.22 0.02 asserted 0.79
s3 For this purpose, we have generated an open dataset, the "NKOS bibliography" which covers the bibliographic information of the research output. method 0.71 0.96 0.02 asserted 1.00
s4 We analyze the co-authorship network of this community which results in 123 papers with a sum of 256 distinct authors. result 0.63 0.95 0.03 asserted 1.00
s5 We use standard network analytic measures such as degree, betweenness and closeness centrality to describe the co-authorship network of the NKOS dataset. method 1.00 0.92 0.03 asserted 0.99
s6 First, we investigate global properties of the network over time. method 0.56 0.86 0.02 asserted 0.51
s7 Second, we analyze the centrality of the authors in the NKOS network. contribution 0.66 0.95 0.02 asserted 0.68
s8 Lastly, we investigate gender differences in collaboration behavior in this community. contribution 0.92 0.86 0.04 asserted 0.70
s9 Our results show that apart from differences in centrality measures of the scholars, they have higher tendency to collaborate with those in the same institution or the same geographic proximity. result 0.99 0.92 0.35 asserted 0.99
s10 We also find that homophily is higher among women in this community. result 1.00 0.96 0.18 asserted 1.00
s11 Apart from small differences in closeness and clustering among men and women, we do not find any significant dissimilarities with respect to other centralities. result 1.00 0.95 0.20 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.88 · evidence from analysis of existing data 0.99.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In this paper, we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2016 from a network analytical perspective. We focus on the papers presented at the European and U.S. NKOS workshops and in addition four special issues on NKOS in the last 16 years. For this purpose, we have generated an open dataset, the "NKOS bibliography" which covers the bibliographic information of the research output. We analyze the co-authorship network of this community which results in 123 papers with a sum of 256 distinct authors. We use standard network analytic measures such as degree, betweenness and closeness centrality to describe the co-authorship network of the NKOS dataset. First, we investigate global properties of the network over time. Second, we analyze the centrality of the authors in the NKOS network. Lastly, we investigate gender differences in collaboration behavior in this community. Our results show that apart from differences in centrality measures of the scholars, they have higher tendency to collaborate with those in the same institution or the same geographic proximity. We also find that homophily is higher among women in this community. Apart from small differences in closeness and clustering among men and women, we do not find any significant dissimilarities with respect to other centralities.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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