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