| Issue |
Math. Model. Nat. Phenom.
Volume 6, Number 6, 2011
Biomathematics Education
|
|
|---|---|---|
| Page(s) | 61 - 75 | |
| Section | Discrete Modeling | |
| DOI | https://doi.org/10.1051/mmnp/20116604 | |
| Published online | 05 October 2011 | |
Using R to Build and Assess Network Models in Biology
Department of Biology, SUNY Geneseo, Geneseo, NY
14454
USA
⋆ Corresponding author. E-mail: hartvig@geneseo.edu
In this paper we build and analyze networks using the statistical and programming environment R and the igraph package. We investigate random, small-world, and scale-free networks and test a standard problem of connectivity on a random graph. We then develop a method to study how vaccination can alter the structure of a disease transmission network. We also discuss a variety of other uses for networks in biology.
Mathematics Subject Classification: 92-01
Key words: networks / graph theory / R / igraph / modeling disease dynamics
© EDP Sciences, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.