Extended study of biological networks using graph theory
Abstract We represent biological networks by a function that maps the structure of a network to a number called topological index. Topological indices have been studied for biological networks in which a person transmits a virus to two other people, and a person having the virus is in contact with e...
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| Lenguaje: | English |
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Universidad Católica del Norte, Departamento de Matemáticas
2021
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| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000501211 |
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oai:scielo:S0716-091720210005012112021-10-05Extended study of biological networks using graph theoryVetrík,Tomáš Topological index Virus Biological network Abstract We represent biological networks by a function that maps the structure of a network to a number called topological index. Topological indices have been studied for biological networks in which a person transmits a virus to two other people, and a person having the virus is in contact with exactly one other person who got the virus from someone else. We extend research in this area by studying biological networks in which a person transmits a virus to n other people, where n ≥ 2, and a person having the virus is in contact with p other people (0 ≤ p ≤ n − 2) who got the virus from some other person.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.40 n.5 20212021-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000501211en10.22199/issn.0717-6279-4580 |
| institution |
Scielo Chile |
| collection |
Scielo Chile |
| language |
English |
| topic |
Topological index Virus Biological network |
| spellingShingle |
Topological index Virus Biological network Vetrík,Tomáš Extended study of biological networks using graph theory |
| description |
Abstract We represent biological networks by a function that maps the structure of a network to a number called topological index. Topological indices have been studied for biological networks in which a person transmits a virus to two other people, and a person having the virus is in contact with exactly one other person who got the virus from someone else. We extend research in this area by studying biological networks in which a person transmits a virus to n other people, where n ≥ 2, and a person having the virus is in contact with p other people (0 ≤ p ≤ n − 2) who got the virus from some other person. |
| author |
Vetrík,Tomáš |
| author_facet |
Vetrík,Tomáš |
| author_sort |
Vetrík,Tomáš |
| title |
Extended study of biological networks using graph theory |
| title_short |
Extended study of biological networks using graph theory |
| title_full |
Extended study of biological networks using graph theory |
| title_fullStr |
Extended study of biological networks using graph theory |
| title_full_unstemmed |
Extended study of biological networks using graph theory |
| title_sort |
extended study of biological networks using graph theory |
| publisher |
Universidad Católica del Norte, Departamento de Matemáticas |
| publishDate |
2021 |
| url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000501211 |
| work_keys_str_mv |
AT vetriktoma353 extendedstudyofbiologicalnetworksusinggraphtheory |
| _version_ |
1718439917594345472 |