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PreprintarXiv licencearXiv

The nearest neighbor interchange proximity measure for the tree-basedness of rooted binary phylogenetic networks

Abstract

Tree-based networks are a broad graph class in phylogenetics which posit a model of evolution composed of tree-like processes and hybridization events. Hence, for any non-tree-based phylogenetic network, it is meaningful to study the magnitude of violation of the tree-based model assumptions. For rooted networks, we introduce the proximity measure delta_rNNI, defined by the minimum number of rooted nearest neighbor interchanges (NNIs) required to transform a network into a tree-based network. For binary networks, we prove that delta_rNNI is pairwise distinct from all previously known proximity measures in the literature and that no approximation guarantees between delta_rNNI and other known proximity measures holds. In addition, we characterize a family of networks for which a linear time lower bound on delta_rNNI is tight. Moreover, we analyze upper bounds and give an exact solution algorithm to compute delta_rNNI.

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BibTeX
@misc{frohn2026nearest,
  title = {{The nearest neighbor interchange proximity measure for the tree-basedness of rooted binary phylogenetic networks}},
  author = {Martin Frohn and Takatora Suzuki},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.23426},
  eprint = {2610.23426},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.23426},
}
RIS
TY  - UNPB
TI  - The nearest neighbor interchange proximity measure for the tree-basedness of rooted binary phylogenetic networks
AU  - Martin Frohn
AU  - Takatora Suzuki
PY  - 2026
DA  - 2026/10/16
PB  - arXiv
DO  - 10.48550/arxiv.2610.23426
UR  - https://arxiv.org/abs/2610.23426
AB  - Tree-based networks are a broad graph class in phylogenetics which posit a model of evolution composed of tree-like processes and hybridization events. Hence, for any non-tree-based phylogenetic network, it is meaningful to study the magnitude of violation of the tree-based model assumptions. For rooted networks, we introduce the proximity measure delta_rNNI, defined by the minimum number of rooted nearest neighbor interchanges (NNIs) required to transform a network into a tree-based network. For binary networks, we prove that delta_rNNI is pairwise distinct from all previously known proximity measures in the literature and that no approximation guarantees between delta_rNNI and other known proximity measures holds. In addition, we characterize a family of networks for which a linear time lower bound on delta_rNNI is tight. Moreover, we analyze upper bounds and give an exact solution algorithm to compute delta_rNNI.
ER  -