Conan: a platform for complex network analysis
Ricardo Honorato-Zimmer, Bryan Reynaert, Ignacio Vergara, Tomas, Perez-Acle

TL;DR
Conan is a C++ and Python library designed for efficient modeling, analysis, and inference of complex networks, supporting various graph models, property computations, and community detection.
Contribution
It introduces a comprehensive, efficient platform combining C++ core with Python interface for complex network analysis and modeling.
Findings
Supports multiple graph models and property computations
Includes network inference and community detection features
Provides a Python interface for ease of use
Abstract
Conan is a C++ library created for the accurate and efficient modelling, inference and analysis of complex networks. It implements the generation and modification of graphs according to several published models, as well as the unexpensive computation of global and local network properties. Other features include network inference and community detection. Furthermore, Conan provides a Python interface to facilitate the use of the library and its integration in currently existing applications. Conan is available at http://github.com/rhz/conan/.
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Taxonomy
TopicsComplex Network Analysis Techniques · Bioinformatics and Genomic Networks · Gene Regulatory Network Analysis
