Graphs are widely adopted in different research fields, since they can model a wide variety of relations and structures, both in bioinformatics and in systems biology. Many analyses of biological networks take advantage of graphs to achieve their results. For this reason, a good understanding and knowledge of mathematical properties of graphs is fundamental to understand their structure. In this contribution, we will review the main properties of graphs related to the degree of vertices, that is, the number of edges incident on them, by giving the formal definitions and proposing different examples. We will also focus on a specific type of graphs, namely complete graphs, and on the density measure, to determine the degree of connection of graphs. This latter measure will also allow to distinguish between highly connected graphs, called dense graphs, and poorly connected ones, called sparse graphs.

(2025). Network Properties . Retrieved from https://hdl.handle.net/10446/318685

Network Properties

Dondi, Riccardo
2025-01-01

Abstract

Graphs are widely adopted in different research fields, since they can model a wide variety of relations and structures, both in bioinformatics and in systems biology. Many analyses of biological networks take advantage of graphs to achieve their results. For this reason, a good understanding and knowledge of mathematical properties of graphs is fundamental to understand their structure. In this contribution, we will review the main properties of graphs related to the degree of vertices, that is, the number of edges incident on them, by giving the formal definitions and proposing different examples. We will also focus on a specific type of graphs, namely complete graphs, and on the density measure, to determine the degree of connection of graphs. This latter measure will also allow to distinguish between highly connected graphs, called dense graphs, and poorly connected ones, called sparse graphs.
Inglese
2025
Encyclopedia of Bioinformatics and Computational Biology
Cannataro, Mario; Ranganathan, Shoba; Khan, Asif M.
online
9780323955034
2
2.
502
508
Netherlands
Amsterdam
Elsevier
Settore INFO-01/A - Informatica
This is an update of Stefano Beretta, Luca Denti, Marco Previtali, Network Properties, Editor(s): Shoba Ranganathan, Michael Gribskov, Kenta Nakai, Christian Schönbach, Encyclopedia of Bioinformatics and Computational Biology, Academic Press, 2019, Pages 928–932, ISBN 9780128114322, https://doi.org/10.1016/B978-0-12-809633-8.20422-6.
Non definito
(2025). Network Properties . Retrieved from https://hdl.handle.net/10446/318685
1.2 Contributi in volume - Book chapters::1.2.04 Voci (in dizionario o enciclopedia) - Dictionary/Encyclopedia entries
Beretta, Stefano; Dondi, Riccardo
2
271
reserved
info:eu-repo/semantics/bookPart
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