Axioms for Distance-Based Centralities
Authors: Oskar Skibski, Jadwiga Sosnowska
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We axiomatize the class of distance-based centralities and study what conditions are imposed by the axioms proposed in the literature. Building upon our analysis, we propose the class of additive distance-based centralities and pin-point properties which combined with the axiomatic characterization of the whole class uniquely characterize a number of centralities from the literature. |
| Researcher Affiliation | Academia | Oskar Skibski, Jadwiga Sosnowska University of Warsaw, Poland |
| Pseudocode | No | No pseudocode or clearly labeled algorithm blocks were found in the paper. |
| Open Source Code | No | The paper does not provide any concrete statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | This is a theoretical paper focused on axiomatization and does not use or reference datasets for training or evaluation. |
| Dataset Splits | No | This is a theoretical paper and does not describe any training, validation, or test dataset splits. |
| Hardware Specification | No | This is a theoretical paper and does not mention any specific hardware specifications used for experiments. |
| Software Dependencies | No | This is a theoretical paper and does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | This is a theoretical paper and does not provide details about experimental setup, hyperparameters, or system-level training settings. |