Insights on the hierarchy of letters in scrabble using cosine similarity, minimum spanning tree, and centrality analysis

Mark Anthony C. Tolentino; Vince Andrew L. Lee; Axirazel D. Lorenzo; Tristan Emmanuel A. Ramos

doi:10.1063/5.0192067

Insights on the hierarchy of letters in scrabble using cosine similarity, minimum spanning tree, and centrality analysis

Mark Anthony C. Tolentino
, Vince Andrew L. Lee
, Axirazel D. Lorenzo
, Tristan Emmanuel A. Ramos

Department of Mathematics

Ateneo de Manila University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Article number	070005
Journal	AIP Conference Proceedings
Volume	2895
Issue number	1
DOIs	https://doi.org/10.1063/5.0192067
State	Published - Mar 7 2024
Event	3rd International Conference on Applied and Industrial Mathematics and Statistics 2022, ICoAIMS 2022 - Virtual, Online, Malaysia Duration: Aug 24 2022 → Aug 26 2022

ASJC Scopus Subject Areas

General Physics and Astronomy

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10.1063/5.0192067

Cite this

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title = "Insights on the hierarchy of letters in scrabble using cosine similarity, minimum spanning tree, and centrality analysis",

author = "Tolentino, \{Mark Anthony C.\} and Lee, \{Vince Andrew L.\} and Lorenzo, \{Axirazel D.\} and Ramos, \{Tristan Emmanuel A.\}",

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month = mar,

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AU - Tolentino, Mark Anthony C.

AU - Lee, Vince Andrew L.

AU - Lorenzo, Axirazel D.

AU - Ramos, Tristan Emmanuel A.

PY - 2024/3/7

Y1 - 2024/3/7

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UR - https://www.scopus.com/pages/publications/85188468017#tab=citedBy

U2 - 10.1063/5.0192067

DO - 10.1063/5.0192067

M3 - Conference article

AN - SCOPUS:85188468017

SN - 0094-243X

VL - 2895

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

IS - 1

M1 - 070005

T2 - 3rd International Conference on Applied and Industrial Mathematics and Statistics 2022, ICoAIMS 2022

Y2 - 24 August 2022 through 26 August 2022

ER -

Insights on the hierarchy of letters in scrabble using cosine similarity, minimum spanning tree, and centrality analysis

ASJC Scopus Subject Areas

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