udfr.cdlib.org
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Top URL related to udfr.cdlib.org
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1. CDlib - Community Detection Library
Link: https://cdlib.readthedocs.io/en/latest/
Description: WEBCDlib is a Python software package that allows to extract, compare and evaluate communities from complex networks. The library provides a standardized input/output for several existing Community Detection algorithms.
DA: 90 PA: 36 MOZ Rank: 55
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2. cdlib · PyPI
Link: https://pypi.org/project/cdlib/
Description: WEBJun 8, 2023 · CDlib - Community Detection Library. CDlib is a meta-library for community detection in complex networks: it implements algorithms, clustering fitness functions as well as visualization facilities.
DA: 51 PA: 97 MOZ Rank: 100
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3. Installing CDlib — CDlib - Community Discovery library - Read …
Link: https://cdlib.readthedocs.io/en/latest/installing.html
Description: WEBInstalling CDlib¶ CDlib requires python>=3.8. To install the latest version of our library just download (or clone) the current project, open a terminal and run the following commands:
DA: 50 PA: 37 MOZ Rank: 93
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4. Quick Start — CDlib - Community Discovery library - Read the Docs
Link: https://cdlib.readthedocs.io/en/latest/tutorial.html
Description: WEBCDlib is a python library that allows to extract, compare and evaluate network partitions. We designed it to be agnostic w.r.t. the data structure used to represent the network to be clustered: all the algorithms it implements accept interchangeably igraph/networkx objects.
DA: 42 PA: 83 MOZ Rank: 94
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5. GitHub - GiulioRossetti/cdlib: Community Discovery Library
Link: https://github.com/GiulioRossetti/cdlib
Description: WEBCDlib - Community Detection Library. CDlib is a meta-library for community detection in complex networks: it implements algorithms, clustering fitness functions as well as visualization facilities. CDlib is designed around the networkx python library: however, when needed, it takes care to automatically convert (from and to) igraph object so to ...
DA: 95 PA: 83 MOZ Rank: 22
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6. CDlib.ipynb - Colaboratory - Google Colab
Link: https://colab.research.google.com/github/GiulioRossetti/cdlib/blob/master/docs/CDlib.ipynb
Description: WEBJun 3, 2019 · CDlib allows to extract, analyze and compare network clustering applying several approaches. The standard workflow can be summarized as: Network Creation; Community Discovery algorithm(s)...
DA: 19 PA: 43 MOZ Rank: 32
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7. CDlib - Community Detection Library - GitHub
Link: https://github.com/GiulioRossetti/cdlib/blob/v0.3.0/docs/index.rst
Description: WEBCDlib is a Python software package that allows to extract, compare and evaluate communities from complex networks. \n The library provides a standardized input/output for several existing Community Detection algorithms.\nThe implementations of all CD algorithms are inherited from existing projects, each one …
DA: 34 PA: 25 MOZ Rank: 58
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8. cdlib/docs/tutorial.rst at master · GiulioRossetti/cdlib · GitHub
Link: https://github.com/GiulioRossetti/cdlib/blob/master/docs/tutorial.rst
Description: WEBFork 71. Star 348. Security. Insights. Community Discovery Library . Contribute to GiulioRossetti/cdlib development by creating an account on GitHub.
DA: 8 PA: 59 MOZ Rank: 35
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9. CDLIB: a python library to extract, compare and evaluate …
Link: https://appliednetsci.springeropen.com/articles/10.1007/s41109-019-0165-9
Description: WEBJul 29, 2019 · The aim of CDlib is to allow easy and standardized access to a wide variety of network clustering algorithms, to evaluate and compare the results they provide, and to visualize them. It notably provides the largest available collection of community detection implementations, with a total of 39 algorithms. Introduction.
DA: 77 PA: 56 MOZ Rank: 92
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10. (PDF) CDLIB: a python library to extract, compare and evaluate
Link: https://www.researchgate.net/publication/334753423_CDLIB_a_python_library_to_extract_compare_and_evaluate_communities_from_complex_networks
Description: WEBJul 29, 2019 · The aim of CDlib is to allow easy and standardized access to a wide variety of network clustering algorithms, to evaluate and compare the results they provide, and to visualize them. It notably...
DA: 50 PA: 74 MOZ Rank: 21