Level-2 networks from shortest and longest distances
Article
Huber, K.T., van Iersel, L., Janssen, R., Jones, M., Moulton, V. and Murakami, Y. 2022. Level-2 networks from shortest and longest distances. Discrete Applied Mathematics. 306, pp. 138-165. https://doi.org/10.1016/j.dam.2021.09.026
| Type | Article |
|---|---|
| Title | Level-2 networks from shortest and longest distances |
| Authors | Huber, K.T., van Iersel, L., Janssen, R., Jones, M., Moulton, V. and Murakami, Y. |
| Abstract | Recently it was shown that a certain class of phylogenetic networks, called level-2 networks, cannot be reconstructed from their associated distance matrices. In this paper, we show that they can be reconstructed from their induced shortest and longest distance matrices. That is, if two level-2 networks induce the same shortest and longest distance matrices, then they must be isomorphic. We further show that level-2 networks are reconstructible from their shortest distance matrices if and only if they do not contain a subgraph from a family of graphs. A generator of a network is the graph obtained by deleting all pendant subtrees and suppressing degree-2 vertices. We also show that networks with a leaf on every generator side are reconstructible from their induced shortest distance matrix. |
| Keywords | Phylogenetic networks; Reconstructibility; Distance matrix; Level-k network |
| Sustainable Development Goals | 9 Industry, innovation and infrastructure |
| Middlesex University Theme | Creativity, Culture & Enterprise |
| Publisher | Elsevier |
| Journal | Discrete Applied Mathematics |
| ISSN | 0166-218X |
| Electronic | 1872-6771 |
| Publication dates | |
| Online | 22 Oct 2021 |
| 15 Jan 2022 | |
| Publication process dates | |
| Submitted | 21 Jan 2021 |
| Accepted | 27 Sep 2021 |
| Deposited | 12 Oct 2026 |
| Output status | Published |
| Publisher's version | License File Access Level Open |
| Copyright Statement | © 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/) |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.dam.2021.09.026 |
| Language | English |
https://repository.mdx.ac.uk/item/36v3q7
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