Complex Networks
Showing 17 of 17 projects
Network Analysis in Python
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A Python interface for the igraph library, enabling fast creation, manipulation, and analysis of large graphs and networks.
C++17/Qt6 library for rendering interactive graphs and node-based editors in QML applications.
Python interface to Graphviz graph drawing package
A Python library providing a comprehensive collection of graph sampling algorithms for NetworkX and NetworKit.
Educational materials for the textbook 'A First Course in Network Science', including Python tutorials, datasets, and Jupyter notebooks.
A Python meta-library for community detection in complex networks, implementing algorithms, fitness functions, and visualization.
A LaTeX package for visualizing complex networks directly within LaTeX documents, eliminating external software dependencies.
A Rust library for creating directed hypergraphs where hyperedges can connect any number of vertices.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
A collection of open-source LaTeX cheatsheets and resources for teaching network science concepts across disciplines.
An Ada library and toolset for complex network analysis, featuring community detection, partition comparison, and network property calculations.
An R package providing easy access to 1,075+ complex network datasets from the Colorado Index of Complex Networks (ICON).
An R package to simulate and visualize network diffusion processes using simple epidemic models like SI.
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