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| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2306.16309 |
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| _version_ | 1866929196347949056 |
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| author | Steer, Ben Arnold, Naomi Ba, Cheick Tidiane Lambiotte, Renaud Yousaf, Haaroon Jeub, Lucas Murariu, Fabian Kapoor, Shivam Rico, Pedro Chan, Rachel Chan, Louis Alford, James Clegg, Richard G. Cuadrado, Felix Barnes, Matthew Russell Zhong, Peijie Biyong, John N. Pougué Alnaimi, Alhamza |
| author_facet | Steer, Ben Arnold, Naomi Ba, Cheick Tidiane Lambiotte, Renaud Yousaf, Haaroon Jeub, Lucas Murariu, Fabian Kapoor, Shivam Rico, Pedro Chan, Rachel Chan, Louis Alford, James Clegg, Richard G. Cuadrado, Felix Barnes, Matthew Russell Zhong, Peijie Biyong, John N. Pougué Alnaimi, Alhamza |
| contents | Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their structure and evolution; and an extensible GraphQL server for deployment of applications built on top. Raphtory's core engine is built in Rust, for efficiency, with Python interfaces, for ease of use. Raphtory is developed by network scientists, with a background in Physics, Applied Mathematics, Engineering and Computer Science, for use across academia and industry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_16309 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Raphtory: The temporal graph engine for Rust and Python Steer, Ben Arnold, Naomi Ba, Cheick Tidiane Lambiotte, Renaud Yousaf, Haaroon Jeub, Lucas Murariu, Fabian Kapoor, Shivam Rico, Pedro Chan, Rachel Chan, Louis Alford, James Clegg, Richard G. Cuadrado, Felix Barnes, Matthew Russell Zhong, Peijie Biyong, John N. Pougué Alnaimi, Alhamza Social and Information Networks Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their structure and evolution; and an extensible GraphQL server for deployment of applications built on top. Raphtory's core engine is built in Rust, for efficiency, with Python interfaces, for ease of use. Raphtory is developed by network scientists, with a background in Physics, Applied Mathematics, Engineering and Computer Science, for use across academia and industry. |
| title | Raphtory: The temporal graph engine for Rust and Python |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2306.16309 |