A Geometric Chung Lu model and the Drosophila Medulla connectome
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arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866915179980128256 |
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| author | Agarwala, Susama Kenter, Franklin |
| author_facet | Agarwala, Susama Kenter, Franklin |
| contents | Many real world graphs have edges correlated to the distance between them, but, in an inhomogeneous manner. While the Chung-Lu model and the geometric random graph models both are elegant in their simplicity, they are insufficient to capture the complexity of these networks. In this paper, we develop a generalized geometric random graph model that preserves many graph theoretic aspects of these real world networks. We test the validity of this model on a graphical representation of the Drosophila Medulla connectome. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2109_00061 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | A Geometric Chung Lu model and the Drosophila Medulla connectome Agarwala, Susama Kenter, Franklin Combinatorics Social and Information Networks Neurons and Cognition Many real world graphs have edges correlated to the distance between them, but, in an inhomogeneous manner. While the Chung-Lu model and the geometric random graph models both are elegant in their simplicity, they are insufficient to capture the complexity of these networks. In this paper, we develop a generalized geometric random graph model that preserves many graph theoretic aspects of these real world networks. We test the validity of this model on a graphical representation of the Drosophila Medulla connectome. |
| title | A Geometric Chung Lu model and the Drosophila Medulla connectome |
| topic | Combinatorics Social and Information Networks Neurons and Cognition |
| url | https://arxiv.org/abs/2109.00061 |