Synthetic Dataset for Star-like Semigroup Modeling of Telecommunication Signals in Gombe State, Nigeria

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Authors: S. A. Akinwunmi
Cited by: 0

Abstract

This dataset contains synthetically generated observations representing signal strength, quality of experience (QoE), and provider–LGA distributions for telecommunication networks in Gombe State, Nigeria. The dataset was constructed to reflect a large-scale survey structure involving 615,510 respondents across 11 Local Government Areas and three major providers (MTN, GLO, and Airtel), using an 11-point star-like scale. It supports the mathematical and operator-theoretic analysis presented in the associated study on star-like transformation semigroups and spectral convolution modeling. The data are synthetic and anonymized, intended solely for methodological validation and reproducibility.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN
Document type
Dataset