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Title:Computing quadratic entropy in evolutionary trees
Authors:ID Bokal, Drago (Author)
ID DeVos, Matt (Author)
ID Klavžar, Sandi (Author)
ID Mimoto, Aki (Author)
ID Mooers, Arne Ø. (Author)
Files:URL http://www.imfm.si/preprinti/PDF/01160.pdf
 
Language:English
Work type:Not categorized
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:We note here that quadratic entropy, a measure of biological diversity introduced by Rao, is a variant of the weighted Wiener index, a graph invariant intensively studied in mathematical chemistry. This fact allows us to deduce some efficient algorithms for computing the quadratic entropy in the case of given tip weights, which may be useful for community biodiversity measures. Furthermore, on ultrametric phylogenetic trees, the maximum of quadratic entropy is a measure of pairwise evolutionary distinctness in conservation biology, introduced by Pavoine. We present an algorithm that maximizes this quantity in linear time, offering a significant improvement over the currently used quadratic programming approaches.
Keywords:teorija grafov, evolucijsko drevo, filogenetsko drevo, Wienerjev indeks, graph theory, evolutionary tree, phylogenetic tree, quadratic entropy, originality, distinctness, Wiener index
Year of publishing:2011
Number of pages:str. 1-18
Numbering:Vol. 49, št. 1160
PID:20.500.12556/DKUM-49394 New window
ISSN:2232-2094
UDC:519.17:54
COBISS.SI-ID:16009817 New window
NUK URN:URN:SI:UM:DK:UHLN2RDN
Publication date in DKUM:10.07.2015
Views:1872
Downloads:127
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Categories:Misc.
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