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The Shapley value of phylogenetic trees
Claus-Jochen Haake1, Akemi Kashiwada, Francis Edward Su
1Institute of Mathematical Economics, Bielefeld University, P. O. Box 100131, 33501 Bielefeld, Germany. chaake@wiwi.uni-bielefeld.de
This study introduces tree games, linking weighted trees to cooperative games for analyzing species diversity. It defines the Shapley value for tree games and provides a new axiomatic characterization.
Area of Science:
- Cooperative game theory
- Phylogenetic analysis
- Mathematical biology
Background:
- Weighted trees naturally form cooperative games called tree games.
- Tree games assign values to coalitions of leaves based on subtree weights.
- In phylogenetics, tree games model species diversity within coalitions.
Purpose of the Study:
- To explore the Shapley value of tree games and propose a biological interpretation.
- To determine the linear transformation (M) influencing Shapley values based on tree edge weights.
- To characterize Shapley values on tree games using a novel set of four axioms.
Main Methods:
- Defined tree games based on weighted trees and subsets of leaves.
- Investigated the Shapley value within the framework of tree games.
- Determined the linear transformation M and computed its null space basis.
- Developed an axiomatic characterization for Shapley values on tree games.
Main Results:
- The Shapley value of tree games was analyzed with a proposed biological interpretation.
- The linear transformation M and its null space basis were computed, depending on tree split counts.
- A new set of four axioms was established to characterize the Shapley value on tree games.
- A discussion on the core of tree games was included.
Conclusions:
- The study provides a mathematical framework (tree games) to analyze diversity in phylogenetic contexts using cooperative game theory.
- The findings offer new insights into the Shapley value's properties and its axiomatic characterization in this specific game class.
- This work bridges concepts from graph theory, game theory, and evolutionary biology.
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P-value
P-value stands for the probability value. P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more...

