Proportional Selection in Networks
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866914580865744896 |
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| author | Papasotiropoulos, Georgios Skibski, Oskar Skowron, Piotr Wąs, Tomasz |
| author_facet | Papasotiropoulos, Georgios Skibski, Oskar Skowron, Piotr Wąs, Tomasz |
| contents | We address the problem of selecting $k$ representative nodes from a network, aiming to achieve two objectives: identifying the most influential nodes and ensuring the selection proportionally reflects the network's diversity. We propose two approaches to accomplish this, analyze them theoretically, and demonstrate their effectiveness through a series of experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03545 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Proportional Selection in Networks Papasotiropoulos, Georgios Skibski, Oskar Skowron, Piotr Wąs, Tomasz Computer Science and Game Theory Artificial Intelligence Multiagent Systems Social and Information Networks We address the problem of selecting $k$ representative nodes from a network, aiming to achieve two objectives: identifying the most influential nodes and ensuring the selection proportionally reflects the network's diversity. We propose two approaches to accomplish this, analyze them theoretically, and demonstrate their effectiveness through a series of experiments. |
| title | Proportional Selection in Networks |
| topic | Computer Science and Game Theory Artificial Intelligence Multiagent Systems Social and Information Networks |
| url | https://arxiv.org/abs/2502.03545 |