A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?

Research article (PLoS ONE, 2020) · cited 35× · AI/ML
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A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?

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A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-methodology-and-theoretical-taxonomy-for-centrality-measures-what-are-the-best-centrality-indicators-for-student-netwo
MLA “A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-methodology-and-theoretical-taxonomy-for-centrality-measures-what-are-the-best-centrality-indicators-for-student-netwo.
BibTeX @misc{4ortxyz_a-methodology-and-theoretical-taxonomy-for-centrality-measures-what-are-the-best-centrality-indicators-for-student-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?}}, year = {2026}, url = {https://4ort.xyz/entity/a-methodology-and-theoretical-taxonomy-for-centrality-measures-what-are-the-best-centrality-indicators-for-student-netwo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks? — https://4ort.xyz/entity/a-methodology-and-theoretical-taxonomy-for-centrality-measures-what-are-the-best-centrality-indicators-for-student-netwo (retrieved 2026-05-24)

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