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Graph Theory for Modeling and Analysis of the Human Lymphatic System

Rostislav Savinkov, Dmitry Grebennikov, Darya Puchkova, Valery Chereshnev, Igor Sazonov Orcid Logo, Gennady Bocharov

Mathematics, Volume: 8, Issue: 12, Start page: 2236

Swansea University Author: Igor Sazonov Orcid Logo

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DOI (Published version): 10.3390/math8122236

Abstract

The human lymphatic system (HLS) is a complex network of lymphatic organs linked through the lymphatic vessels. We present a graph theory-based approach to model and analyze the human lymphatic network. Two different methods of building a graph are considered: the method using anatomical data direct...

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Published in: Mathematics
ISSN: 2227-7390 2227-7390
Published: MDPI AG 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55966
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Abstract: The human lymphatic system (HLS) is a complex network of lymphatic organs linked through the lymphatic vessels. We present a graph theory-based approach to model and analyze the human lymphatic network. Two different methods of building a graph are considered: the method using anatomical data directly and the method based on a system of rules derived from structural analysis of HLS. A simple anatomical data-based graph is converted to an oriented graph by quantifying the steady-state fluid balance in the lymphatic network with the use of the Poiseuille equation in vessels and the mass conservation at vessel junctions. A computational algorithm for the generation of the rule-based random graph is developed and implemented. Some fundamental characteristics of the two types of HLS graph models are analyzed using different metrics such as graph energy, clustering, robustness, etc.
Keywords: graph theory; networks; mathematical modeling; lymphatic system; immunology
College: Faculty of Science and Engineering
Issue: 12
Start Page: 2236

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