Infomap Model for Graph Clustering

The Infomap model is a popular approach for detecting communities or clusters in network/graph data. It is based on the concept of optimizing a quality function called "Infomap," which quantifies the amount of information flow between different nodes in a network. By minimizing this function, the model can identify cohesive subgroups within a network, providing insights into the underlying structure and organization of the data.

1. Social Network Analysis: Infomap can be used to analyze social networks and identify communities or groups of individuals with similar social interactions or interests. This can be valuable in understanding patterns of communication, influence, and information diffusion.
2. Biological Network Analysis: Infomap has been applied to biological networks such as protein-protein interaction networks and gene regulatory networks. It can reveal functional modules or protein complexes, aiding in the understanding of cellular processes and disease mechanisms.
3. Recommender Systems: Infomap can be used to identify communities of interest or preferences within user-item interaction networks. This information can then be utilized to enhance personalized recommendations.

1. Infomap Official Website: http://www.mapequation.org/ - Provides comprehensive documentation, tutorials, and the official implementation of the Infomap algorithm.
2. NetworkX Library: https://networkx.org/ - NetworkX is a powerful Python library for network analysis that includes an implementation of the Infomap algorithm.
3. GitHub Repository: https://github.com/mapequation/infomap - The official GitHub repository of the Infomap algorithm, containing the source code and examples for different programming languages.

1. Daniel Edler (GitHub: edlerd) - Contributor to the Infomap project and developer of related tools.
2. Martin Rosvall (GitHub: rosvall) - Creator of the Infomap algorithm and main developer of the Infomap project.
3. Erik G. D. Petersen (GitHub: egdpetersen) - Researcher specializing in network analysis and the Infomap algorithm.
4. Anders Mollgaard (GitHub: andersbln) - Developer and contributor to the Infomap project, with expertise in network analysis.
5. Renaud Lambiotte (GitHub: renaudlambiotte) - Researcher with extensive knowledge in complex networks and their analysis, including the Infomap algorithm.

Note: The expertise of the individuals listed above is subject to change over time, and it is advisable to verify their current contributions and research in the field.