An Axiomatization of the Eigenvector and Katz Centralities
Authors: Tomasz Wąs, Oskar Skibski
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we study the theoretical underpinning of the feedback centralities. Specifically, we propose a novel axiomatization of the Eigenvector Centrality and the Katz Centrality based on six simple requirements. Our approach highlights the similarities and differences between both centralities which may help in choosing the right centrality for a specific application. |
| Researcher Affiliation | Academia | Tomasz W as, Oskar Skibski Institute of Informatics, University of Warsaw, Poland |
| Pseudocode | No | The paper contains mathematical proofs and definitions but no structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described. |
| Open Datasets | No | This is a theoretical paper and does not use datasets for training or evaluation. Therefore, no information about public dataset availability is provided. |
| Dataset Splits | No | This is a theoretical paper and does not involve dataset splits for training, validation, or testing. Therefore, no specific dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware. Therefore, no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe any computational experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |