RETRACTED ARTICLE: Concordance-based Kendall’s correlation for computationally-light vs. computationally-heavy centrality metrics: lower bound for correlation

Natarajan Meghanathan

DOI: 10.1007/s40595-017-0097-1
Published: 2017-06-28
Container: Vietnam Journal of Computer Science
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s40595-017-0097-1,
  title = {RETRACTED ARTICLE: Concordance-based Kendall’s correlation for computationally-light vs. computationally-heavy centrality metrics: lower bound for correlation},
  author = {Natarajan Meghanathan},
  year = {2017},
  journal = {Vietnam Journal of Computer Science},
  doi = {10.1007/s40595-017-0097-1},
  url = {https://doi.org/10.1007/s40595-017-0097-1}
}

RIS

TY  - JOUR
TI  - RETRACTED ARTICLE: Concordance-based Kendall’s correlation for computationally-light vs. computationally-heavy centrality metrics: lower bound for correlation
AU  - Natarajan Meghanathan
PY  - 2017
JO  - Vietnam Journal of Computer Science
DO  - 10.1007/s40595-017-0097-1
UR  - https://doi.org/10.1007/s40595-017-0097-1
ER  -

APA

Meghanathan, N. (2017). RETRACTED ARTICLE: Concordance-based Kendall’s correlation for computationally-light vs. computationally-heavy centrality metrics: lower bound for correlation. Vietnam Journal of Computer Science. https://doi.org/10.1007/s40595-017-0097-1

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crossref · retrieved 2026-09-25T01:29:37.465Z