antsMersch: Dynamic contact network of ants

In dynsbm: Dynamic Stochastic Block Models

Description

Colonies of the ant Camponotus fellah were followed with a tracking system that monitored the individual positions over days of observations and dynamic social interactions were deduced from physical proximity. The data corresponds to a colony of N=152 ants observed during T=10 days. Edge weights were binned into K=3 categories corresponding to low, medium and high interaction intensity.

Usage

data(antsMersch)

Format

An array of size 10x152x152.

Source

http://datadryad.org/resource/doi:10.5061/dryad.8d8h7

References

Mersch, D. P., Crespi, A., Keller, L., Tracking individuals shows spatial fidelity is a key regulator of ant social organization, Science, 340(6136), 1090-1093 (2013) http://dx.doi.org/10.1126/science.1234316

Miele, V and Matias, C, Revealing the hidden structure of dynamic ecological networks, Royal Society Open Science (2017)

Examples

## Not run: 
data(antsMersch)

## better to use nstart>>1 starting points
## but estimation can be long;
## better to use nb.cores>1 cores
list.dynsbm <- select.dynsbm(antsMersch, 
				Qmin=1, Qmax=6, edge.type="discrete", K=3, 
				nstart=20, nb.cores=4) 
				

## selection of Q=3 with the 'elbow' method
dynsbm <- list.dynsbm[[3]]

## plotting intra/inter connectivity patterns
connectivity.plot(dynsbm, antsMersch)

## plotting switches between groups
alluvial.plot(dynsbm, timestep.abbrev="D", only.present=F)

## End(Not run)

dynsbm documentation built on March 26, 2020, 7:33 p.m.