Raphtory: the temporal graph engine for Rust and Python
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 e...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
Open Journals
2024
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| _version_ | 1826316961167966208 |
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| author | Steer, B Arnold, NA Ba, CT Lambiotte, R Yousaf, H Jeub, L Murariu, F Kapoor, S Rico, P Chan, R Chan, L Alford, J Clegg, RG Cuadrado, F Barnes, MR Zhong, P Pougué-Biyong, J Alnaimi, A |
| author_facet | Steer, B Arnold, NA Ba, CT Lambiotte, R Yousaf, H Jeub, L Murariu, F Kapoor, S Rico, P Chan, R Chan, L Alford, J Clegg, RG Cuadrado, F Barnes, MR Zhong, P Pougué-Biyong, J Alnaimi, A |
| author_sort | Steer, B |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-09-25T04:04:37Z |
| format | Journal article |
| id | oxford-uuid:13f44157-d05c-40b8-8e89-9c04b5fee53b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2025-02-19T04:31:03Z |
| publishDate | 2024 |
| publisher | Open Journals |
| record_format | dspace |
| spelling | oxford-uuid:13f44157-d05c-40b8-8e89-9c04b5fee53b2025-01-09T14:21:06ZRaphtory: the temporal graph engine for Rust and PythonJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:13f44157-d05c-40b8-8e89-9c04b5fee53bEnglishSymplectic ElementsOpen Journals2024Steer, BArnold, NABa, CTLambiotte, RYousaf, HJeub, LMurariu, FKapoor, SRico, PChan, RChan, LAlford, JClegg, RGCuadrado, FBarnes, MRZhong, PPougué-Biyong, JAlnaimi, ARaphtory 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. |
| spellingShingle | Steer, B Arnold, NA Ba, CT Lambiotte, R Yousaf, H Jeub, L Murariu, F Kapoor, S Rico, P Chan, R Chan, L Alford, J Clegg, RG Cuadrado, F Barnes, MR Zhong, P Pougué-Biyong, J Alnaimi, A Raphtory: the temporal graph engine for Rust and Python |
| title | Raphtory: the temporal graph engine for Rust and Python |
| title_full | Raphtory: the temporal graph engine for Rust and Python |
| title_fullStr | Raphtory: the temporal graph engine for Rust and Python |
| title_full_unstemmed | Raphtory: the temporal graph engine for Rust and Python |
| title_short | Raphtory: the temporal graph engine for Rust and Python |
| title_sort | raphtory the temporal graph engine for rust and python |
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