# Counting Rankings of Tree-Child Networks

**Authors:** Qiang Zhang, Mike Steel

PMC · DOI: 10.1007/s11538-026-01606-6 · 2026-02-21

## TL;DR

This paper explores how to count the number of ways to order evolutionary events in a specific type of phylogenetic network called a tree-child network.

## Contribution

The paper introduces a method to count rankings of tree-child networks and derives an asymptotic expression for the expected number of rankings.

## Key findings

- An explicit asymptotic formula for the expected number of rankings of a random tree-child network is derived.
- The relationship between rankable tree-child networks and normal networks is investigated.
- A method for counting rankings on binary or semi-binary tree-child networks is presented.

## 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.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12924824/full.md

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Source: https://tomesphere.com/paper/PMC12924824