ClassicalAndCommunityAwareCentralityAnalysis
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上传日期:2021-12-14 16:11:44
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说明: 一个存储库,包含在经典中心性和社区感知中心性之间进行比较分析的代码...
(A repository containing the code to conduct a comparative analysis between classical and community-aware centrality measures.)
文件列表:
CentralityCalculationAndFurtherProcessing (0, 2021-12-15)
CentralityCalculationAndFurtherProcessing\.ipynb_checkpoints (0, 2021-12-15)
CentralityCalculationAndFurtherProcessing\.ipynb_checkpoints\GrQc-CentralityCalculation-ObtainingHeatmap-checkpoint.ipynb (1083784, 2021-12-15)
CentralityCalculationAndFurtherProcessing\BridgingCentralityCode.py (1792, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CBMCode.py (2171, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CHBCode.py (4711, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR (0, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\diffusion-grqc-inter.txt (9504, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\diffusion-grqc-intra.txt (12001, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\diffusion-grqc.txt (12958, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\grqc-inter.gml (140555, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\grqc-intra.gml (244313, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\grqc.gml (761527, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\laplacian-grqc-inter.txt (10105, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\laplacian-grqc-intra.txt (13423, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\laplacian-grqc.txt (14439, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\leverage-grqc-inter.txt (25743, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\leverage-grqc-intra.txt (39953, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\leverage-grqc.txt (43159, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\mnc-grqc-inter.txt (8338, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\mnc-grqc-intra.txt (8689, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\mnc-grqc.txt (8807, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\subgraph-grqc-inter.txt (19719, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\subgraph-grqc-intra.txt (37633, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CentralityFromR\subgraph-grqc.txt (42664, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CommCentralityCode.py (4336, 2021-12-15)
CentralityCalculationAndFurtherProcessing\CommunityBasedCentralityCode.py (4753, 2021-12-15)
CentralityCalculationAndFurtherProcessing\GrQc-CentralityCalculation-ObtainingHeatmap.ipynb (1083784, 2021-12-15)
CentralityCalculationAndFurtherProcessing\KshellWithCommunityCode.py (1531, 2021-12-15)
CentralityCalculationAndFurtherProcessing\NNCCode.py (3238, 2021-12-15)
CentralityCalculationAndFurtherProcessing\ParticipationCoefficientCode.py (4422, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__ (0, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\BridgingCentralityCode.cpython-37.pyc (1586, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\CBMCode.cpython-37.pyc (1656, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\CHBCode.cpython-37.pyc (2964, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\CommCentralityCode.cpython-37.pyc (2900, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\CommunityBasedCentralityCode.cpython-37.pyc (1841, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\KshellWithCommunityCode.cpython-37.pyc (1052, 2021-12-15)
CentralityCalculationAndFurtherProcessing\__pycache__\NNCCode.cpython-37.pyc (2105, 2021-12-15)
... ...
# ClassicalAndCommunityAwareCentralityAnalysis
This repository contains the code to conduct the analysis of the article: Rajeh, S., Savonnet, M., Leclercq, E. et al. _Characterizing the interactions between classical and community-aware centrality measures in complex networks._ Sci Rep 11, 10088 (2021). https://doi.org/10.1038/s415***-021-89549-x
Comments and questions are welcome, contact: `stephany.rajeh(at)u-bourgogne.fr`
The sources of datasets used in the study are available within the article.
## CentralityCalculationAndFurtherProcessing
1. Calculates the classical and community-aware centrality for a given network.
2. Computes the correlation for all possible combinations between classical and community-aware centrality measures are then represent them in a heatmap.
___Note:___ Classical measures are already written with `networkx` in Python and `centiserve` in R while community-aware centrality measures are written for the study of this paper.
## NetworkTopologyCharacteristicsExtraction
1. Extracts macroscopic features for a given network
2. Extracts mesoscopic features for a given network
___Note:___ Code for macroscopic features is already written with `networkx` in Python while code for mesoscopic features are written for the study of this paper.
## Linear Regression
1. Code for performing linear regression using ordinary least squares (in Python)
2. Code for performing linear regression using weighted least squares (in R)
___Note:___ Linear regression concering the _Degree Distribution Exponent_ is calculated excluding the Football network, in a separate folder.
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