Description Usage Arguments Author(s) References Examples
This function assigns roles to features identified in sub communities using two metrics that is: within-module degree which measures how well a particular feature is connected to others in the same subcommunity (module.) The second metric is among-module connectivity which measures how a feature is linked to other modules in the network. Features are classified as ultra peripherals, peripherals, provincial, connectors, kinless, module hubs, or non hubs.
1 | module.roles(comm_graph)
|
comm_graph |
: Graph object returned by 'co_occurence_network' function. |
Alfred Ssekagiri assekagiri@gmail.com, Umer Zeeshan Ijaz Umer.Ijaz@glasgow.ac.uk
http://userweb.eng.gla.ac.uk/umer.ijaz/, Umer Ijaz, 2015
Guimera, Roger, and Luis A Nunes Amaral. 2005. “Functional Cartography of Complex Metabolic Networks.” Nature 433 (7028). NIH Public Access: 895.
1 2 3 | taxa.roles <- module.roles(g)
p <- plot_roles(taxa.roles)
print(p)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.