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March 3, 2026Bulletin of Mathematical Biology0 citationsOpen Access

Counting Rankings of Tree-Child Networks

QZQiang ZhangMSMike Steel

Key Points

  • Explicit ranking of ancestral speciation events reveals the evolutionary history of species.
  • The expected number of rankings for tree-child networks is derived using an asymptotic expression.
  • The analysis connects rankable tree-child networks with the broader category of normal networks.
  • Understanding these rankings enhances insight into phylogenetic relationships and hybridization events.

Abstract

Rooted phylogenetic networks allow biologists to represent evolutionary relationships between present-day species by revealing ancestral speciation and hybridization events. A convenient and well-studied class of such networks are 'tree-child networks' and a 'ranking' of such a network is a temporal ordering of the ancestral speciation and hybridization events. In this short note, we investigate the question of counting such rankings on any given binary (or semi-binary) tree-child network. We also investigate the relationship between rankable tree-child networks and the class of 'normal' networks. Finally, we provide an explicit asymptotic expression for the expected number of rankings of a tree-child network chosen uniformly at random.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69a760fdc6e9836116a2e7c1https://doi.org/10.1007/s11538-026-01606-6
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