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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2105.03146 |
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| _version_ | 1866929727453790208 |
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| author | Wąs, Tomasz Skibski, Oskar |
| author_facet | Wąs, Tomasz Skibski, Oskar |
| contents | In recent years, the axiomatic approach to centrality measures has attracted attention in the literature. However, most papers propose a collection of axioms dedicated to one or two considered centrality measures. In result, it is hard to capture the differences and similarities between various measures. In this paper, we propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality, Seeley index, and PageRank. We prove that each of these four centrality measures can be uniquely characterized with a subset of our axioms. Our system is the first one in the literature that considers all four feedback centralities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2105_03146 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | An Axiom System for Feedback Centralities Wąs, Tomasz Skibski, Oskar Social and Information Networks In recent years, the axiomatic approach to centrality measures has attracted attention in the literature. However, most papers propose a collection of axioms dedicated to one or two considered centrality measures. In result, it is hard to capture the differences and similarities between various measures. In this paper, we propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality, Seeley index, and PageRank. We prove that each of these four centrality measures can be uniquely characterized with a subset of our axioms. Our system is the first one in the literature that considers all four feedback centralities. |
| title | An Axiom System for Feedback Centralities |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2105.03146 |