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Quantification and statistical analysis of topological features of recursive trees

Király, Balázs and Borsos, István and Szabó, György (2023) Quantification and statistical analysis of topological features of recursive trees. PHYSICA A - STATISTICAL MECHANICS AND ITS APPLICATIONS, 617. ArtNo: 128672. ISSN 0378-4371 (print), 1873-2119 (online)

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Abstract

Some topological features of recursive trees are quantified by exploiting the decomposition of directed graphs into a suitable combination of starlike hierarchical and three-edge cyclic components. This approach requires the adoption of the formalism of weighted directed graphs and allows us to quantify the proportion of hierarchical and hidden cyclic components. Using this concept, we can introduce new local parameters and global measures that quantify certain topological features of recursive trees. The average values of some of these measures over the general set of same-sized recursive trees are also determined.

Item Type: Article
Uncontrolled Keywords: Game theory; network analysis; recursive trees; Matrix decomposition; adjacency matrix; Topological features of graphs;
Subjects: Q Science / természettudomány > QA Mathematics / matematika
Q Science / természettudomány > QC Physics / fizika
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 30 Mar 2023 06:09
Last Modified: 30 Mar 2023 06:09
URI: http://real.mtak.hu/id/eprint/163005

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