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Research Article | Open Access

On the flexibility of monophonic paths and connectedness property: application to the human circulatory system

Husniyah Alzubaidi1Ljubiša D. R. Kočinac2( )Hakeem A. Othman3
Department of Mathematics, AL-Qunfudhah University College, Umm Al-Qura University, KSA
Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia
Department of Mathematics, Albaydha University, Albaydha, Yemen
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Abstract

This paper explores the interplay between graph theory and topology by introducing a novel framework based on flexible paths in directed graphs. Extending the classical notion of monophonic paths, we define flexible graphical topologies and characterize classes of directed graphs whose associated flexible graphical topologies are discrete or indiscrete. Fundamental topological properties, including connectedness, compactness, and homeomorphism, are investigated within this framework. Based on these properties, the notions of flexible connectedness and flexible discreteness are introduced and studied. To demonstrate the applicability of the proposed framework, we considered graph representations derived from the human circulatory system. The obtained flexible graphical topological structures are analyzed to illustrate their ability to capture connectedness, flexible connectedness, and flexible discreteness in biologically inspired networks. The results showed that flexible graphical topology provides an extended mathematical framework for studying structural properties of directed networks and offers potential for future applications in biological and complex systems.

CLC number: 05C20, 05C99, 54D05, 54D99

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AIMS Mathematics
Pages 18994-19010

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Cite this article:
Alzubaidi H, Kočinac LDR, Othman HA. On the flexibility of monophonic paths and connectedness property: application to the human circulatory system. AIMS Mathematics, 2026, 11(6): 18994-19010. https://doi.org/10.3934/math.2026773

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Received: 24 April 2026
Revised: 01 June 2026
Accepted: 08 June 2026
Published: 15 June 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)