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scalednap - Community Detection by Scaled Null-Adjusted Persistence

Finds the vertex partition of an undirected graph that maximises a persistence-based objective, using the Milano local-search algorithm. Three related quality measures are supported: the persistence probability of a community, its null-adjusted persistence (NAP), and the scaled null-adjusted persistence (Scaled-NAP), which interpolates between NAP and modularity. The methods are described in Avellone et al. (2023) <doi:10.1007/s10288-023-00559-z> and Avellone et al. (2025) <doi:10.1016/j.ins.2025.123032>.

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cpp

3.40 score 169 downloads

persistence - Optimal Graph Partition using the Persistence

Calculate the optimal vertex partition of a graph using the persistence as objective function. These subroutines have been used in Avellone et al. <doi:10.1007/s10288-023-00559-z> and Avellone et al. <doi:10.1016/j.ins.2025.123032>. This package is deprecated and has been superseded by the 'scalednap' package, which provides the same functionality and additional features; new and existing users should install 'scalednap' instead.

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cpp

2.18 score 3 scripts 331 downloads

poseticDataAnalysis - Posetic Data Analysis

Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).

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cpp

1.70 score 1 scripts 277 downloads