# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "scalednap" in publications use:' type: software license: GPL-2.0-or-later title: 'scalednap: Community Detection by Scaled Null-Adjusted Persistence' version: 1.0.0 doi: 10.32614/CRAN.package.scalednap abstract: '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) and Avellone et al. (2025) .' authors: - family-names: Avellone given-names: Alessandro email: alessandro.avellone@unimib.it - family-names: Bartesaghi given-names: Paolo email: paolo.bartesaghi@unimi.it - family-names: Benati given-names: Stefano email: stefano.benati@unitn.it - family-names: Grassi given-names: Rosanna email: rosanna.grassi@unimib.it repository: https://aavellone.r-universe.dev repository-code: https://github.com/aavellone/scalednap-r commit: 7e490b4e81409f8dfb9a2f76de766b1ca33d8807 url: https://github.com/aavellone/scalednap-r date-released: '2026-08-22' contact: - family-names: Avellone given-names: Alessandro email: alessandro.avellone@unimib.it