Heuristics for Inequality minimization in PageRank values
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866917879115415552 |
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| author | Sahu, Subhajit |
| author_facet | Sahu, Subhajit |
| contents | PageRank is a widely used algorithm for ranking webpages and plays a significant role in determining web traffic. This study employs the Gini coefficient, a measure of income/wealth inequality, to assess the inequality in PageRank distributions and explores six deterministic methods for reducing inequality. Our findings indicate that a combination of two distinct heuristics may present an effective strategy for minimizing inequality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_18537 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Heuristics for Inequality minimization in PageRank values Sahu, Subhajit Computers and Society Social and Information Networks K.4.2 PageRank is a widely used algorithm for ranking webpages and plays a significant role in determining web traffic. This study employs the Gini coefficient, a measure of income/wealth inequality, to assess the inequality in PageRank distributions and explores six deterministic methods for reducing inequality. Our findings indicate that a combination of two distinct heuristics may present an effective strategy for minimizing inequality. |
| title | Heuristics for Inequality minimization in PageRank values |
| topic | Computers and Society Social and Information Networks K.4.2 |
| url | https://arxiv.org/abs/2310.18537 |