Methodology for Identifying Social Groups within a Transactional Graph
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912229223301120 |
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| author | Morin, Maxence Hemery, Baptiste Jeanne, Fabrice Pawlowski-Cherrier, Estelle |
| author_facet | Morin, Maxence Hemery, Baptiste Jeanne, Fabrice Pawlowski-Cherrier, Estelle |
| contents | Social network analysis is pivotal for organizations aiming to leverage the vast amounts of data generated from user interactions on social media and other digital platforms. These interactions often reveal complex social structures, such as tightly-knit groups based on common interests, which are crucial for enhancing service personalization or fraud detection. Traditional methods like community detection and graph matching, while useful, often fall short of accurately identifying specific groups of users. This paper introduces a novel framework specifically designed to identify groups of users within transactional graphs by focusing on the contextual and structural nuances that define these groups. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_07694 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Methodology for Identifying Social Groups within a Transactional Graph Morin, Maxence Hemery, Baptiste Jeanne, Fabrice Pawlowski-Cherrier, Estelle Social and Information Networks Social network analysis is pivotal for organizations aiming to leverage the vast amounts of data generated from user interactions on social media and other digital platforms. These interactions often reveal complex social structures, such as tightly-knit groups based on common interests, which are crucial for enhancing service personalization or fraud detection. Traditional methods like community detection and graph matching, while useful, often fall short of accurately identifying specific groups of users. This paper introduces a novel framework specifically designed to identify groups of users within transactional graphs by focusing on the contextual and structural nuances that define these groups. |
| title | Methodology for Identifying Social Groups within a Transactional Graph |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2502.07694 |